Merge from rc2.0

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@2713 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
quemy 2012-07-19 09:53:26 +00:00
commit 409a1b21b8
1731 changed files with 104909 additions and 64375 deletions

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######################################################################################
### 0) Include subdirectories
######################################################################################
add_subdirectory(doc)
add_subdirectory(src)
if(ENABLE_CMAKE_TESTING)
add_subdirectory(test)
endif(ENABLE_CMAKE_TESTING)
if(ENABLE_CMAKE_EXAMPLE)
if(${CMAKE_VERBOSE_MAKEFILE})
message("MOEO Examples :")
endif(${CMAKE_VERBOSE_MAKEFILE})
add_subdirectory(tutorial)
endif(ENABLE_CMAKE_EXAMPLE)

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######################################################################################
### 0) Documentation
######################################################################################
if(DOXYGEN_FOUND)
# Directory where the generation will be launched
set(MOEO_DOC_DIR ${CMAKE_CURRENT_BINARY_DIR} CACHE PATH "Documentation directory")
# Name of the doxygene configuration file
set(MOEO_DOC_CONFIG_FILE "moeo.doxyfile" CACHE PATH "Documentation configuration file")
if(DOXYGEN_EXECUTABLE)
# Creating the custom target
if(UNIX AND NOT ${CMAKE_VERBOSE_MAKEFILE})
add_custom_target(doc-moeo
COMMAND ${DOXYGEN_EXECUTABLE} ${MOEO_DOC_CONFIG_FILE} 2> /dev/null > /dev/null
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
)
else(UNIX AND NOT ${CMAKE_VERBOSE_MAKEFILE})
add_custom_target(doc-moeo
COMMAND ${DOXYGEN_EXECUTABLE} ${MOEO_DOC_CONFIG_FILE}
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
)
endif(UNIX AND NOT ${CMAKE_VERBOSE_MAKEFILE})
endif(DOXYGEN_EXECUTABLE)
configure_file("${CMAKE_CURRENT_SOURCE_DIR}/${MOEO_DOC_CONFIG_FILE}.cmake"
"${MOEO_DOC_DIR}/${MOEO_DOC_CONFIG_FILE}")
install(
DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
DESTINATION share${INSTALL_SUB_DIR}/moeo COMPONENT doc
PATTERN "CMakeFiles" EXCLUDE
PATTERN "cmake_install.cmake" EXCLUDE
PATTERN "CTestTestfile.cmake" EXCLUDE
PATTERN "Makefile" EXCLUDE
PATTERN "moeo.cfg" EXCLUDE
PATTERN "moeo.doxytag" EXCLUDE
)
else(DOXYGEN_FOUND)
message(STATUS "Unable to generate the documentation, Doxygen package not found")
endif(DOXYGEN_FOUND)

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/** @mainpage Welcome to ParadisEO-MOEO
@section Introduction
ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
This paradigm-free software embeds some features and techniques for Pareto-based resolution and
aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
This separation confers a maximum design and code reuse.
ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more). Dominance-based Local Search are also available.
Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
using the whole version of ParadisEO.
@section tutorials Tutorials
Tutorials for ParadisEO-MOEO are available in the "Tutorials section" of the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
@section Installation
The installation procedure of the package is detailed in the README file in the top-directory of the source-tree.
@section Design
For an introduction to the design of ParadisEO-MOEO,
you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
@section LICENSE
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".
As a counterpart to the access to the source code and rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty and the software's author, the holder of the
economic rights, and the successive licensors have only limited liability.
In this respect, the user's attention is drawn to the risks associated
with loading, using, modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean that it is complicated to manipulate, and that also
therefore means that it is reserved for developers and experienced
professionals having in-depth computer knowledge. Users are therefore
encouraged to load and test the software's suitability as regards their
requirements in conditions enabling the security of their systems and/or
data to be ensured and, more generally, to use and operate it in the
same conditions as regards security.
The fact that you are presently reading this means that you have had
knowledge of the CeCILL license and that you accept its terms.
ParadisEO WebSite : http://paradiseo.gforge.inria.fr
Contact: paradiseo-help@lists.gforge.inria.fr
*/
/** @page webpages Related webpages
- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
- <a href="../../README">README</a>
*/

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######################################################################################
### 0) Include directories
######################################################################################
include_directories(${EO_SRC_DIR})
include_directories(${MO_SRC_DIR}/src)
include_directories(${CMAKE_CURRENT_SOURCE_DIR})
######################################################################################
### 1) Set paths
######################################################################################
set(MOEO_LIB_OUTPUT_PATH ${MOEO_BIN_DIR}/lib)
set(LIBRARY_OUTPUT_PATH ${MOEO_LIB_OUTPUT_PATH})
######################################################################################
### 2) Build lib
######################################################################################
set (MOEO_CORE core/moeoObjectiveVectorTraits.cpp)
add_library(moeo STATIC ${MOEO_CORE})
set(MOEO_VERSION ${GLOBAL_VERSION})
set_target_properties(moeo PROPERTIES VERSION "${MOEO_VERSION}")
install(TARGETS moeo ARCHIVE DESTINATION ${LIB} COMPONENT libraries)
######################################################################################
### 3) Look for headers
######################################################################################
file(GLOB HDRS moeo)
install(FILES ${HDRS} DESTINATION include${INSTALL_SUB_DIR}/moeo COMPONENT headers)
######################################################################################
### 4) Install directories
######################################################################################
install(DIRECTORY acceptCrit algo archive comparator core distance diversity do explorer fitness hybridization metric replacement scalarStuffs selection utils
DESTINATION include${INSTALL_SUB_DIR}/moeo
COMPONENT headers
FILES_MATCHING PATTERN "*.h"
)

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/*
* <moeoASEEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
* François Legillon
* Thibaut demaret
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOASEEA_H_
#define MOEOASEEA_H_
#include <eoBreed.h>
#include <eoCloneOps.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <archive/moeoArchive.h>
#include <selection/moeoRandomSelect.h>
#include <selection/moeoSelectFromPopAndArch.h>
#include <selection/moeoDetArchiveSelect.h>
/**
* ASEEA (Adaptive Simple Elitist Evolutionary Algorithm).
*/
template < class MOEOT >
class moeoASEEA : public moeoEA < MOEOT >
{
public:
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
* @param _max the max size for the pop
*/
moeoASEEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT > & _archive, unsigned int _max) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), selectMany(_archive, _max), transform(_crossover, _pCross, _mutation, _pMut), selectTransform(selectMany, transform), breed (selectTransform), archive(_archive)
{}
/**
* Ctor with a eoContinue.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
* @param _max the max size for the pop
*/
moeoASEEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT > & _archive, unsigned int _max) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), selectMany(_archive, _max), transform(_crossover, _pCross, _mutation, _pMut), selectTransform(selectMany, transform), breed(selectTransform), archive(_archive)
{}
/**
* Ctor with a eoContinue, a eoPopEval.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
* @param _max the max size for the pop
*/
moeoASEEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT > & _archive, unsigned int _max) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), selectMany(_archive, _max), transform(_crossover, _pCross, _mutation, _pMut), selectTransform(selectMany, transform), breed(selectTransform), archive(_archive)
{}
/**
* Ctor with a eoContinue and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _transform variation operator
* @param _archive archive
* @param _max the max size for the pop
*/
moeoASEEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform, moeoArchive < MOEOT > & _archive, unsigned int _max) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), selectMany(_archive, _max), transform(defaultQuadOp, 0.0, defaultMonOp, 0.0), selectTransform(selectMany, _transform), breed(selectTransform), archive(_archive)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoTransform.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _transform variation operator
* @param _archive archive
* @param _max the max size for the pop
*/
moeoASEEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform, moeoArchive < MOEOT > & _archive, unsigned int _max) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), selectMany(_archive, _max), transform(defaultQuadOp, 0.0, defaultMonOp, 0.0), selectTransform(selectMany, _transform), breed(selectTransform), archive(_archive)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > empty_pop, offspring;
popEval (empty_pop, _pop); // a first eval of _pop
archive(_pop); // archive update
while (continuator (_pop))
{
// generate offspring
breed (_pop, offspring);
popEval (_pop, offspring); // eval of offspring
// archive (_pop); // archive update
archive (offspring); // archive update
_pop.resize(0);
offspring.resize(0);
}
}
protected:
/** default eval */
class DummyEval : public eoEvalFunc < MOEOT >{
public:
void operator()(MOEOT &) {}
}defaultEval;
/** default transform */
class DummyTransform : public eoTransform < MOEOT >{
public :
void operator()(eoPop<MOEOT>&) {}
}defaultTransform;
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** default popEval */
eoPopLoopEval < MOEOT > defaultPopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** default select many */
moeoDetArchiveSelect < MOEOT > selectMany; // A REMPLACER !!!!!!!!!!! => add/moeoDetArchiveSelect.h
/** eoTransform */
eoSGATransform < MOEOT > transform;
/** select transform */
eoSelectTransform < MOEOT > selectTransform;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
//eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** an object for genetic operators (used as default) */
//eoSGAGenOp < MOEOT >& genOp;
/** breeder */
eoBreed < MOEOT > & breed;
/**archive */
moeoArchive < MOEOT > & archive;
};
#endif /*MOEOASEEA_H_*/

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/*
* <moeoAlgo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOALGO_H_
#define MOEOALGO_H_
/**
* Abstract class for multi-objective algorithms.
*/
class moeoAlgo
{};
#endif /*MOEOALGO_H_*/

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/*
* <moeoEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEA_H_
#define MOEOEA_H_
#include <algo/moeoPopAlgo.h>
/**
* Abstract class for multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoEA : public moeoPopAlgo < MOEOT >
{};
#endif /*MOEOEA_H_*/

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/*
* <moeoEasyEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOEASYEA_H
#define _MOEOEASYEA_H
#include <apply.h>
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoMergeReduce.h>
#include <eoPopEvalFunc.h>
#include <eoSelect.h>
#include <eoTransform.h>
#include <algo/moeoEA.h>
#include <diversity/moeoDiversityAssignment.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <fitness/moeoFitnessAssignment.h>
#include <replacement/moeoReplacement.h>
/**
* An easy class to design multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoEasyEA: public moeoEA < MOEOT >
{
public:
/**
* Ctor taking a breed.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed and a popEval.
* @param _continuator the stopping criteria
* @param _popEval the evaluation functions for the whole population
* @param _breed the breeder
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(dummySelect, dummyTransform), breed(_breed), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select and a transform.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform.and a popEval
* @param _continuator the stopping criteria
* @param _popEval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(_select, _transform), breed(selectTransform), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Applies a few generation of evolution to the population _pop.
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval(empty_pop, _pop); // A first eval of pop.
bool firstTime = true;
do
{
try
{
unsigned int pSize = _pop.size();
offspring.clear(); // new offspring
// fitness and diversity assignment (if you want to or if it is the first generation)
if (evalFitAndDivBeforeSelection || firstTime)
{
firstTime = false;
//std::cout << "fitness eval" << std::endl;
fitnessEval(_pop);
//std::cout << "diversity eval" << std::endl;
diversityEval(_pop);
}
breed(_pop, offspring);
popEval(_pop, offspring); // eval of parents + offspring if necessary
replace(_pop, offspring); // after replace, the new pop. is in _pop
if (pSize > _pop.size())
{
throw std::runtime_error("Population shrinking!");
}
else if (pSize < _pop.size())
{
throw std::runtime_error("Population growing!");
}
}
catch (std::exception& e)
{
std::string s = e.what();
s.append( " in moeoEasyEA");
throw std::runtime_error( s );
}
}
while (continuator(_pop));
}
protected:
/** the stopping criteria */
eoContinue < MOEOT > & continuator;
/** a dummy eval */
class eoDummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
dummyEval;
/** the evaluation functions */
eoEvalFunc < MOEOT > & eval;
/** to evaluate the whole population */
eoPopLoopEval < MOEOT > loopEval;
/** to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** dummy select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
dummySelect;
/** breed: a select followed by a transform */
eoSelectTransform < MOEOT > selectTransform;
/** dummy transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
dummyTransform;
/** the breeder */
eoBreed < MOEOT > & breed;
/** the replacment strategy */
moeoReplacement < MOEOT > & replace;
/** the fitness assignment strategy */
moeoFitnessAssignment < MOEOT > & fitnessEval;
/** the diversity assignment strategy */
moeoDiversityAssignment < MOEOT > & diversityEval;
/** if this parameter is set to 'true', the fitness and the diversity of the whole population will be re-evaluated before the selection process */
bool evalFitAndDivBeforeSelection;
};
#endif /*MOEOEASYEA_H_*/

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/*
* <moeoIBEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOIBEA_H_
#define MOEOIBEA_H_
#include <eoBreed.h>
#include <eoCloneOps.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <replacement/moeoEnvironmentalReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* IBEA (Indicator-Based Evolutionary Algorithm).
* E. Zitzler, S. Künzli, "Indicator-Based Selection in Multiobjective Search", Proc. 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pp. 832-842, Birmingham, UK (2004).
* This class builds the IBEA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoIBEA : public moeoEA < MOEOT >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen maximum number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select (2), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed), fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operators
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoGenOp.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _op variation operators
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _transform variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoTransform.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _transform variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Apply the algorithm to the population _pop until the stopping criteria is satified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
diversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** default eval */
class DummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
defaultEval;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** default popEval */
eoPopLoopEval < MOEOT > defaultPopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** default select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
defaultSelect;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** default select many */
eoSelectMany < MOEOT > selectMany;
/** select transform */
eoSelectTransform < MOEOT > selectTransform;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** default transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
defaultTransform;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
/** fitness assignment used in IBEA */
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT > fitnessAssignment;
/** dummy diversity assignment */
moeoDummyDiversityAssignment < MOEOT > diversityAssignment;
/** environmental replacement */
moeoEnvironmentalReplacement < MOEOT > replace;
};
#endif /*MOEOIBEA_H_*/

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/*
* <moeoNSGA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOMOGA_H_
#define MOEOMOGA_H_
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoFrontByFrontSharingDiversityAssignment.h>
#include <fitness/moeoDominanceRankFitnessAssignment.h>
#include <replacement/moeoElitistReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* MOGA.
*/
template < class MOEOT >
class moeoMOGA: public moeoEA < MOEOT >
{
public:
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen maximum number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _nicheSize niche size
*/
moeoMOGA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, double _nicheSize = 0.5) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select (2), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed), diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operators
* @param _nicheSize niche size
*/
moeoMOGA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoGenOp.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _op variation operators
* @param _nicheSize niche size
*/
moeoMOGA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _transform variation operator
* @param _nicheSize niche size
*/
moeoMOGA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoTransform.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _transform variation operator
* @param _nicheSize niche size
*/
moeoMOGA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Apply the algorithm to the population _pop until the stopping criteria is satified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
diversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** default eval */
class DummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
defaultEval;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** default popEval */
eoPopLoopEval < MOEOT > defaultPopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** default select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
defaultSelect;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** default select many */
eoSelectMany < MOEOT > selectMany;
/** select transform */
eoSelectTransform < MOEOT > selectTransform;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** default transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
defaultTransform;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
/** fitness assignment used in NSGA-II */
moeoDominanceRankFitnessAssignment < MOEOT > fitnessAssignment;
/** diversity assignment used in NSGA-II */
moeoFrontByFrontSharingDiversityAssignment < MOEOT > diversityAssignment;
/** elitist replacement */
moeoElitistReplacement < MOEOT > replace;
};
#endif /*MOEOMOGA_H_*/

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/*
* <moeoNSGA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEONSGA_H_
#define MOEONSGA_H_
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoFrontByFrontSharingDiversityAssignment.h>
#include <fitness/moeoDominanceDepthFitnessAssignment.h>
#include <replacement/moeoElitistReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* NSGA (Non-dominated Sorting Genetic Algorithm).
* N. Srinivas, K. Deb, "Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms".
* Evolutionary Computation, Vol. 2(3), No 2, pp. 221-248 (1994).
* This class builds the NSGA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoNSGA: public moeoEA < MOEOT >
{
public:
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen maximum number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _nicheSize niche size
*/
moeoNSGA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, double _nicheSize = 0.5) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select (2), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed), diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operators
* @param _nicheSize niche size
*/
moeoNSGA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoGenOp.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _op variation operators
* @param _nicheSize niche size
*/
moeoNSGA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _transform variation operator
* @param _nicheSize niche size
*/
moeoNSGA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoTransform.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _transform variation operator
* @param _nicheSize niche size
*/
moeoNSGA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform, double _nicheSize = 0.5) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Apply the algorithm to the population _pop until the stopping criteria is satified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
diversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** default eval */
class DummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
defaultEval;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** default popEval */
eoPopLoopEval < MOEOT > defaultPopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** default select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
defaultSelect;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** default select many */
eoSelectMany < MOEOT > selectMany;
/** select transform */
eoSelectTransform < MOEOT > selectTransform;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** default transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
defaultTransform;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
/** fitness assignment used in NSGA-II */
moeoDominanceDepthFitnessAssignment < MOEOT > fitnessAssignment;
/** diversity assignment used in NSGA-II */
moeoFrontByFrontSharingDiversityAssignment < MOEOT > diversityAssignment;
/** elitist replacement */
moeoElitistReplacement < MOEOT > replace;
};
#endif /*MOEONSGA_H_*/

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/*
* <moeoNSGAII.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEONSGAII_H_
#define MOEONSGAII_H_
#include <eoBreed.h>
#include <eoCloneOps.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoFrontByFrontCrowdingDiversityAssignment.h>
#include <fitness/moeoDominanceDepthFitnessAssignment.h>
#include <replacement/moeoElitistReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* NSGA-II (Non-dominated Sorting Genetic Algorithm II).
* Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. IEEE Transactions on Evolutionary Computation, Vol. 6, No 2, pp 182-197 (2002).
* This class builds the NSGA-II algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoNSGAII: public moeoEA < MOEOT >
{
public:
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen maximum number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
*/
moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select (2), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operators
*/
moeoNSGAII (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoGenOp.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _op variation operators
*/
moeoNSGAII (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), replace (fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _transform variation operator
*/
moeoNSGAII (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoTransform.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _transform variation operator
*/
moeoNSGAII (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Apply a the algorithm to the population _pop until the stopping criteria is satified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
diversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** default eval */
class DummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
defaultEval;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** default popEval */
eoPopLoopEval < MOEOT > defaultPopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** default select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
defaultSelect;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** default select many */
eoSelectMany < MOEOT > selectMany;
/** select transform */
eoSelectTransform < MOEOT > selectTransform;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** default transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
defaultTransform;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
/** fitness assignment used in NSGA */
moeoDominanceDepthFitnessAssignment < MOEOT > fitnessAssignment;
/** diversity assignment used in NSGA-II */
moeoFrontByFrontCrowdingDiversityAssignment < MOEOT > diversityAssignment;
/** elitist replacement */
moeoElitistReplacement < MOEOT > replace;
};
#endif /*MOEONSGAII_H_*/

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/*
* <moeoPLS1.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOPLS1_H
#define _MOEOPLS1_H
#include <algo/moeoUnifiedDominanceBasedLS.h>
#include <selection/moeoNumberUnvisitedSelect.h>
#include <explorer/moeoExhaustiveNeighborhoodExplorer.h>
/**
* PLS1 algorithm
*
* Paquete L, Chiarandini M, St ̈ tzle T (2004) Pareto local optimum sets in the biobjective
* traveling salesman problem: An experimental study. In: Metaheuristics for Multiobjective
* Optimisation, Lecture Notes in Economics and Mathematical Systems, vol 535, Springer-
* Verlag, Berlin, Germany, chap 7, pp 177199
*/
template < class Neighbor >
class moeoPLS1 : public moeoUnifiedDominanceBasedLS < Neighbor >
{
public:
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _continuator a stop creterion
* @param _eval a evaluation function
* @param _archive a archive to store no-dominated individuals
* @param _neighborhood a neighborhood
* @param _incrEval neighbor evaluation function
*/
moeoPLS1(
eoContinue < MOEOT > & _continuator,
eoEvalFunc < MOEOT > & _eval,
moeoArchive < MOEOT > & _archive,
moNeighborhood<Neighbor>& _neighborhood,
moEval < Neighbor > & _incrEval):
moeoUnifiedDominanceBasedLS<Neighbor>(
_continuator,
_eval,
_archive,
*(new moeoExhaustiveNeighborhoodExplorer<Neighbor>(_neighborhood, _incrEval)),
*(new moeoNumberUnvisitedSelect<MOEOT>(1))
){}
};
#endif /*MOEOPLS1_H_*/

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/*
* <moeoPLS2.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOPLS2_H
#define _MOEOPLS2_H
#include <algo/moeoUnifiedDominanceBasedLS.h>
#include <selection/moeoExhaustiveUnvisitedSelect.h>
#include <explorer/moeoExhaustiveNeighborhoodExplorer.h>
/**
* PLS2 algorithm
*
* Talbi EG, Rahoual M, Mabed MH, Dhaenens C (2001) A hybrid evolutionary approach for
* multicriteria optimization problems : Application to the fow shop. In: First International
* Conference on Evolutionary Multi-criterion Optimization (EMO 2001), Springer-Verlag,
* Zurich, Switzerland, Lecture Notes in Computer Science, vol 1993, pp 416428
*
* Basseur M, Seynhaeve F, Talbi E (2003) Adaptive mechanisms for multiobjective evolution-
* ary algorithms. In: Congress on Engineering in System Application (CESA 2003), Lille,
* France, pp 7286
*
* Angel E, Bampis E, Gourv ́ s L (2004) A dynasearch neighbohood for the bicriteria travel-
* ing salesman problem. In: Metaheuristics for Multiobjective Optimisation, Lecture Notes
* in Economics and Mathematical Systems, vol 535, Springer-Verlag, Berlin, Germany,
* chap 6, pp 153176
*/
template < class Neighbor >
class moeoPLS2 : public moeoUnifiedDominanceBasedLS < Neighbor >
{
public:
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _continuator a stop creterion
* @param _eval a evaluation function
* @param _archive a archive to store no-dominated individuals
* @param _neighborhood a neighborhood
* @param _incrEval neighbor evaluation function
*/
moeoPLS2(
eoContinue < MOEOT > & _continuator,
eoEvalFunc < MOEOT > & _eval,
moeoArchive < MOEOT > & _archive,
moNeighborhood<Neighbor>& _neighborhood,
moEval < Neighbor > & _incrEval):
moeoUnifiedDominanceBasedLS<Neighbor>(
_continuator,
_eval,
_archive,
*(new moeoExhaustiveNeighborhoodExplorer<Neighbor>(_neighborhood, _incrEval)),
*(new moeoExhaustiveUnvisitedSelect<MOEOT>())
){}
};
#endif /*MOEOPLS2_H_*/

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/*
* <moeoPopAlgo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOPOPALGO_H_
#define MOEOPOPALGO_H_
#include <eoAlgo.h>
#include <algo/moeoAlgo.h>
/**
* Abstract class for population based multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoPopAlgo : public moeoAlgo, public eoAlgo < MOEOT >
{};
#endif /*MOEOPOPALGO_H_*/

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/*
* <moeoPopLS.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOPOPLS_H_
#define MOEOPOPLS_H_
#include <algo/moeoPopAlgo.h>
/**
* Abstract class for Population based multi-objective local search.
*/
template < class Neighborhhod >
class moeoPopLS : public moeoPopAlgo < typename Neighborhhod::EOT > {};
#endif /*MOEOPOPLS_H_*/

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/*
* <moeoSEEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
#ifndef MOEOSEEA_H_
#define MOEOSEEA_H_
#include <eoBreed.h>
#include <eoCloneOps.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <archive/moeoArchive.h>
#include <replacement/moeoGenerationalReplacement.h>
#include <selection/moeoRandomSelect.h>
#include <selection/moeoSelectFromPopAndArch.h>
/**
* SEEA (Simple Elitist Evolutionary Algorithm).
* Liefooghe A. Jourdan L., Talbi E.-G.. Metaheuristics and Their Hybridization to Solve the Bi-objective Ring Star Problem: a Comparative Study. Technical Report RR-6515, INRIA, 2008
* This class builds SEEA by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoSEEA : public moeoEA < MOEOT >
{
public:
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
*/
moeoSEEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT > & _archive) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(randomSelect, _archive, 0.0), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed), archive(_archive)
{}
/**
* Ctor with a eoContinue and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operators
* @param _archive archive
*/
moeoSEEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT > & _archive) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(randomSelect, _archive, 0.0), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), archive(_archive)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoGenOp.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _op variation operators
* @param _archive archive
*/
moeoSEEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT > & _archive) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(randomSelect, _archive, 0.0), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), archive(_archive)
{}
/**
* Ctor with a eoContinue and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _transform variation operator
* @param _archive archive
*/
moeoSEEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform, moeoArchive < MOEOT > & _archive) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(randomSelect, _archive, 0.0), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), archive(_archive)
{}
/**
* Ctor with a eoContinue, a eoPopEval and a eoTransform.
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _transform variation operator
* @param _archive archive
*/
moeoSEEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform, moeoArchive < MOEOT > & _archive) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(randomSelect, _archive, 0.0), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), archive(_archive)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > empty_pop, offspring;
popEval (empty_pop, _pop); // a first eval of _pop
archive(_pop); // archive update
while (continuator (_pop))
{
// generate offspring, worths are recalculated if necessary
genBreed (_pop, offspring);
popEval (_pop, offspring); // eval of offspring
// after replace, the new pop is in _pop
// replace (_pop, offspring);
// archive (_pop); // archive update
archive(offspring);
// _pop.resize(0);
// offspring.resize(0);
}
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** default eval */
class DummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
defaultEval;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** default popEval */
eoPopLoopEval < MOEOT > defaultPopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** default select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
defaultSelect;
/** random select */
moeoRandomSelect < MOEOT > randomSelect;
/** elitist selection */
moeoSelectFromPopAndArch < MOEOT > select;
/** default select many */
eoSelectMany < MOEOT > selectMany;
/** select transform */
eoSelectTransform < MOEOT > selectTransform;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** default transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
defaultTransform;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
/** generational replacement */
moeoGenerationalReplacement < MOEOT > replace;
/**archive*/
moeoArchive < MOEOT >& archive;
};
#endif /*MOEOSEEA_H_*/

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@ -0,0 +1,278 @@
/*
* <moeoSPEA2.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoSPEA2.h
//-----------------------------------------------------------------------------
#ifndef MOEOSPEA2_H_
#define MOEOSPEA2_H_
#include <eoBreed.h>
#include <eoCloneOps.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoNearestNeighborDiversityAssignment.h>
#include <fitness/moeoDominanceCountFitnessAssignment.h>
#include <fitness/moeoDominanceCountRankingFitnessAssignment.h>
#include <replacement/moeoGenerationalReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
#include <archive/moeoFixedSizeArchive.h>
#include <distance/moeoEuclideanDistance.h>
#include <selection/moeoSelectFromPopAndArch.h>
/**
* SPEA2 algorithm.
* E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103,
* Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001.
*/
template < class MOEOT >
class moeoSPEA2: public moeoEA < MOEOT >
{
public:
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), fitnessAssignment(_archive, _nocopy),
genBreed(defaultSelect, defaultSGAGenOp),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), fitnessAssignment(_archive, _nocopy),
genBreed(defaultSelect, defaultSGAGenOp),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _continuator stopping criteria
* @param _eval pop evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoPopEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
defaultGenContinuator(0), continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_eval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), fitnessAssignment(_archive, _nocopy),
genBreed(defaultSelect, defaultSGAGenOp),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op general operator
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
genBreed(select, _op),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op transformer
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
genBreed(defaultSelect, defaultSGAGenOp),selectMany(select,1.0), selectTransform(selectMany, _op), breed(selectTransform), diversityAssignment(dist,_archive, _k)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _continuator stopping criteria
* @param _eval pop evaluation function
* @param _op general operator
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoPopEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=1, bool _nocopy=false) :
defaultGenContinuator(0), continuator(_continuator),eval(dummyEval), loopEval(dummyEval), popEval(_eval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
genBreed(select, _op),selectMany(defaultSelect,0.0), selectTransform(selectMany, dummyTransform), breed(genBreed), diversityAssignment(dist,_archive, _k)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _continuator stopping criteria
* @param _eval pop evaluation function
* @param _op transformer
* @param _archive archive
* @param _k the k-ieme distance used to fixe diversity
* @param _nocopy boolean allow to consider copies and doublons as bad elements whose were dominated by all other MOEOT in fitness assignment.
*/
moeoSPEA2 (eoContinue < MOEOT >& _continuator, eoPopEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoArchive < MOEOT >& _archive, unsigned int _k=100, bool _nocopy=false) :
defaultGenContinuator(0), continuator(_continuator),eval(dummyEval), loopEval(dummyEval), popEval(_eval), archive(_archive),defaultSelect(2),select(defaultSelect, defaultSelect, _archive, 0.0),
defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), fitnessAssignment(_archive, _nocopy),
genBreed(defaultSelect, defaultSGAGenOp),selectMany(select,1.0), selectTransform(selectMany, _op), breed(selectTransform), diversityAssignment(dist,_archive, _k)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT >empty_pop, offspring;
popEval (empty_pop, _pop);// a first eval of _pop
fitnessAssignment(_pop); //a first fitness assignment of _pop
diversityAssignment(_pop);//a first diversity assignment of _pop
archive(_pop);//a first filling of archive
while (continuator (_pop))
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
popEval (_pop, offspring); // eval of offspring
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
fitnessAssignment(_pop); //fitness assignment of _pop
diversityAssignment(_pop); //diversity assignment of _pop
archive(_pop); //control of archive
}
}
protected:
/** dummy evaluation */
class eoDummyEval : public eoEvalFunc< MOEOT >
{
public:
void operator()(MOEOT &) {}
}
dummyEval;
/** dummy transform */
class eoDummyTransform : public eoTransform<MOEOT>
{
public :
void operator()(eoPop<MOEOT>&) {}
}
dummyTransform;
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** evaluation function */
eoEvalFunc < MOEOT > & eval;
/** loop eval */
eoPopLoopEval < MOEOT > loopEval;
/** evaluation function used to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/**archive*/
moeoArchive < MOEOT >& archive;
/**SelectOne*/
moeoDetTournamentSelect < MOEOT > defaultSelect;
/** binary tournament selection */
moeoSelectFromPopAndArch < MOEOT > select;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** fitness assignment used in NSGA-II */
moeoDominanceCountRankingFitnessAssignment < MOEOT > fitnessAssignment;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** selectMany */
eoSelectMany <MOEOT> selectMany;
/** select Transform*/
eoSelectTransform <MOEOT> selectTransform;
/** breeder */
eoBreed < MOEOT > & breed;
/** diversity assignment used in NSGA-II */
moeoNearestNeighborDiversityAssignment < MOEOT > diversityAssignment;
/** elitist replacement */
moeoGenerationalReplacement < MOEOT > replace;
/**distance*/
moeoEuclideanDistance < MOEOT > dist;
};
#endif /*MOEOSPEA2_H_*/

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@ -0,0 +1,149 @@
/*
* <moeoUnifiedDominanceBasedLS.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOUNIFIEDDOMINANCEBASEDLS_H
#define _MOEOUNIFIEDDOMINANCEBASEDLS_H
#include <eoPop.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoPopEvalFunc.h>
#include <archive/moeoArchive.h>
#include <algo/moeoPopLS.h>
#include <explorer/moeoPopNeighborhoodExplorer.h>
#include <selection/moeoUnvisitedSelect.h>
/**
* A class to design dominance based local searches
*/
template < class Neighbor >
class moeoUnifiedDominanceBasedLS : public moeoPopLS < Neighbor >
{
public:
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
/**
* Ctor
* @param _continuator a stop creterion
* @param _eval a evaluation function
* @param _archive a archive to store no-dominated individuals
* @param _explorer a neighborhood explorer
* @param _select a selector of unvisited individuals of a population
*/
moeoUnifiedDominanceBasedLS(
eoContinue < MOEOT > & _continuator,
eoEvalFunc < MOEOT > & _eval,
moeoArchive < MOEOT > & _archive,
moeoPopNeighborhoodExplorer < Neighbor > & _explorer,
moeoUnvisitedSelect < MOEOT > & _select) :
continuator(_continuator), loopEval(_eval), popEval(loopEval), archive(_archive), explorer(_explorer), select(_select) {}
/**
* Applies a few generation of evolution to the population _pop.
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
std::vector < unsigned int> selectionVector;
eoPop < MOEOT > tmp_pop;
popEval(tmp_pop, _pop);
archive(_pop);
do{
tmp_pop.resize(0);
//selection
selectionVector = select(archive);
//exploration
explorer(archive, selectionVector, tmp_pop);
//archivage
archive(tmp_pop);
}
while (continuator(archive) && naturalContinuator(archive));
}
protected:
/** continuator */
eoContinue < MOEOT > & continuator;
/** loopEval */
eoPopLoopEval < MOEOT > loopEval;
/** popEval */
eoPopEvalFunc < MOEOT > & popEval;
/** archive */
moeoArchive < MOEOT > & archive;
/** explorer */
moeoPopNeighborhoodExplorer < Neighbor > & explorer;
/** selector */
moeoUnvisitedSelect < MOEOT > & select;
/**
* Natural Continuator (Stop when all individuals of the population are visited)
*/
class moeoContinue : public eoUF < eoPop < MOEOT > &, bool >
{
public:
/**
* Ctor
*/
moeoContinue(){}
/**
* functor which evaluate if the algorithm continue or not
* @param _pop the population
* @return true if the algorithm continue, else return false
*/
virtual bool operator()(eoPop < MOEOT > & _pop)
{
bool res = false;
unsigned int i=0;
while (!res && i < _pop.size()){
res = (_pop[i].flag() != 1);
i++;
}
//if (res==false)
//std::cout << "[Natural stop]" << std::endl;
return res;
}
} naturalContinuator;
};
#endif /*MOEOUNIFIEDDOMINANCEBASEDLS_H_*/

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// j'ai installé le svn :)
// re-test
/*
* <moeo2DMinHypervolumeArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEO2DMINHYPERVOLUMEARCHIVE_H_
#define MOEO2DMINHYPERVOLUMEARCHIVE_H_
#include <set>
#include <climits>
template < class MOEOT >
struct comp
{
// returns a "before" b
// all objectives = min
bool operator() (const MOEOT & a, const MOEOT & b)
{
return ((a.objectiveVector()[1] < b.objectiveVector()[1]) || ((a.objectiveVector()[1] == b.objectiveVector()[1]) && (a.objectiveVector()[0] < b.objectiveVector()[0])));
}
};
/** 2D (minimization) bounded archive by hypervolume , base on a set */
template < class MOEOT >
class moeo2DMinHypervolumeArchive : public std::set<MOEOT , comp < MOEOT > >
{
public:
typedef typename MOEOT::Fitness Fitness;
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename std::set < MOEOT, comp<MOEOT> >::iterator Iterator;
using std::set < MOEOT, comp<MOEOT> > :: begin;
using std::set < MOEOT, comp<MOEOT> > :: end;
using std::set < MOEOT, comp<MOEOT> > :: insert;
using std::set < MOEOT, comp<MOEOT> > :: erase;
using std::set < MOEOT, comp<MOEOT> > :: size;
using std::set < MOEOT, comp<MOEOT> > :: upper_bound;
/**
* Ctr.
* @param _maxSize size of the archive (must be >= 2)
* @param _maxValue fitness assigned to the first and the last solution in the archive (default LONG_MAX)
*/
moeo2DMinHypervolumeArchive(unsigned int _maxSize=100, double _maxValue=LONG_MAX) : std::set < MOEOT, comp<MOEOT> > (), maxSize(_maxSize), maxValue(_maxValue)
{
maxSize = std::max((unsigned int) 2, maxSize);
}
/**
* Update the archive with a solution
* @param _moeo a solution
* @return true if _moeo has been added to the archive
*/
bool operator()(const MOEOT & _moeo)
{
//store result
bool result;
Iterator it;
//If archive is empty -> add the sol and affect its fitness value
if (size()==0)
{
result = true;
insert(_moeo);
it=begin();
fitness(it, maxValue);
}
else // test if sol can be added to the archive
{
result = insert(_moeo.objectiveVector());
if (result)
{
if(size() < maxSize)
{
// if yes, insert it and recompute fitness value of MOEOT and its neighbors
insert(hint, _moeo);
if(size() > 2)
{
//general case
hint--;
computeFitness(hint);
}
else
{
//archive size <= 2, fitness=maxValue for each sol
it=begin();
while(it!=end())
{
fitness(it, maxValue);
it++;
}
}
}
else
{
result = filter(_moeo);
}
}
}
return result;
}
/**
* update the archive with a population
* @param _pop a pop
* @return true if at least one solution of _pop has been added to the archive
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
bool result = false;
bool tmp = false;
for (unsigned int i=0; i<_pop.size(); i++)
{
std::cout << "insert " << _pop[i].objectiveVector()[0] << ", " << _pop[i].objectiveVector()[1] << std::endl;
tmp = (*this)(_pop[i]);
result = tmp || result;
}
return result;
}
/**
* Test if insertion wrt Pareto-dominance is possible, and fix 'hint' if possible
* @param _objVec the objective vector of the sol to insert
* @return true if objVec can be added to the archive wrt Pareto-dominance
*/
bool insert(const ObjectiveVector & _objVec)
{
bool result = false;
Iterator it;
double min;
// set the objVec to the empty solution
empty.objectiveVector(_objVec);
// compute the position where it would possibly be added
it = upper_bound(empty);
// compute the weigth from the previous solution
min = begin()->objectiveVector()[0];
if (it != begin())
{
it--;
min = (*it).objectiveVector()[0];
it++;
}
// if it has a better weitgh, or if it's an extreme sol, let's add it
if (it == begin() || _objVec[0]<min)
{
// remove dominated solutions
remove(it,_objVec);
// set hint to the current iterator (probably modified by "remove")
hint=it;
// set result to true
result = true;
}
return result;
}
/**
* print objective vector and fitness value of the archive
*/
void print()
{
Iterator it = begin();
while(it!=end())
{
std::cout << (*it).objectiveVector()[0] << " " << (*it).objectiveVector()[1] << ", fit: " << (*it).fitness() << std::endl;
it++;
}
}
protected:
/** size max of the archive */
unsigned int maxSize;
/** fitness assigned to the first and the last solution in the archive */
double maxValue;
/** hint for the insertion */
Iterator hint;
/** an empty MOEOT used for checking insertion */
MOEOT empty;
/**
* set fitness
*/
void fitness(Iterator & _it, double _fitnessValue)
{
MOEOT* tmp;
tmp = (MOEOT*)&(*_it);
tmp->fitness(_fitnessValue);
}
/**
* remove solutions from the archive that are dominated by _objVec
* @param _it an iterator beginning on the first potentialy sol to remove
* @param _objVec the objective vector of the new solution
*/
void remove(Iterator & _it, const ObjectiveVector & _objVec)
{
Iterator itd;
while ((_it!=end()) && ((*_it).objectiveVector()[0] >= _objVec[0]))
{
itd = _it;
_it++;
erase(itd);
}
}
/**
* compute fitness value of a solution and its two neighbors
* @param _it refer to the solution
*/
void computeFitness(Iterator & _it)
{
Iterator tmp;
if(_it!=begin())
{
tmp=_it;
tmp--;
compute(tmp);
}
_it++;
if(_it!=end())
{
_it--;
tmp=_it;
tmp++;
compute(tmp);
}
else
{
_it--;
}
compute(_it);
}
/**
* compute fitness value of a solution
* @param _it refer to the solution
*/
void compute(Iterator & _it)
{
double x0, x1, y0, y1, fit;
if (_it==begin())
{
fitness(_it, maxValue);
}
else if ((++_it)==end())
{
_it--;
fitness(_it, maxValue);
}
else
{
_it--;
x0 = (*_it).objectiveVector()[0];
y0 = (*_it).objectiveVector()[1];
_it--;
x1 = (*_it).objectiveVector()[0];
_it++;
_it++;
y1 = (*_it).objectiveVector()[1];
_it--;
fit = (x1 - x0) * (y1 - y0);
fitness(_it, fit);
//tmp = (MOEOT*)&(*_it);
//tmp->fitness(fit);
}
}
double computeTmp(const ObjectiveVector & _objVec, int _where)
{
double res, tmp;
if(hint==begin() || hint==end())
res=maxValue;
else{
if(_where==0){
//on calcule la fit de celui à potentiellement inserer
res= (*hint).objectiveVector()[1] - _objVec[1];
hint--;
res*= ((*hint).objectiveVector()[0] - _objVec[0]);
hint++;
}
else if(_where <0){
// on calcule la fit de son predecesseur
res= _objVec[1] - (*hint).objectiveVector()[1];
tmp=(*hint).objectiveVector()[0];
hint--;
res*= ((*hint).objectiveVector()[0] - tmp);
hint++;
}
else{
// on calcule la fit de son successeur
res= _objVec[0] - (*hint).objectiveVector()[0];
tmp=(*hint).objectiveVector()[1];
hint++;
res*= ((*hint).objectiveVector()[1] - tmp);
hint--;
}
}
return res;
}
void filterbis()
{
Iterator it, itd;
//used to find sol with minimum fitness value
double minFit = maxValue;
// remove MOEOT with the lowest fitness value while archive size > maxSize
while (size() > maxSize)
{
//find sol with minimum fitness
for(it=begin(); it!=end(); it++)
{
if(it->fitness() < minFit)
{
minFit = it->fitness();
itd = it;
}
}
//remove it and recompute fitness of its neighbors
it = itd;
it--;
erase(itd);
compute(it);
it++;
compute(it);
}
}
/**
* iteratively removes the less-contributing solution from the acrhive
*/
bool filter(const MOEOT & _moeo)
{
bool res;
double x, y, pred, succ, tmp=0;
if(hint==begin() || hint==end())
{
insert(hint, _moeo);
hint--;
computeFitness(hint);
filterbis();
res=true;
}
else
{
//compute fitness tmp
tmp=computeTmp(_moeo.objectiveVector(), 0);
hint--;
pred=computeTmp(_moeo.objectiveVector(), -1);
hint++;
succ=computeTmp(_moeo.objectiveVector(), 1);
if(tmp>succ || tmp>pred)
{
insert(hint, _moeo);
hint--;
//ici faudrait utiliser les valeurs qu'on vient de calculer pour les affecter direct (faire attention à ou on se trouve)
computeFitness(hint);
filterbis();
res=true;
}
else
{
Iterator it;
double minFit = maxValue;
for(it=begin(); it!=end(); it++)
{
if(it->fitness() < minFit)
{
minFit = it->fitness();
}
}
if (tmp<=minFit)
{
res = false;
}
else
{
// REDONDANT arranger le code
insert(hint, _moeo);
hint--;
//ici faudrait utiliser les valeurs qu'on vient de calculer pour les affecter direct (faire attention à ou on se trouve)
computeFitness(hint);
filterbis();
res=true;
}
}
}
return res;
}
};
#endif /* MOEO2DMINHYPERVOLUMEARCHIVE_H_ */

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/*
* <moeoArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOARCHIVE_H_
#define MOEOARCHIVE_H_
#include <eoPop.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
/**
* Abstract class for representing an archive ;
* an archive is a secondary population that stores non-dominated solutions.
*/
template < class MOEOT >
class moeoArchive : public eoPop < MOEOT >, public eoUF < const MOEOT &, bool>, public eoUF < const eoPop < MOEOT > &, bool>
{
public:
using eoPop < MOEOT > :: size;
using eoPop < MOEOT > :: operator[];
using eoPop < MOEOT > :: back;
using eoPop < MOEOT > :: pop_back;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor.
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoArchive(bool _replace=true) : eoPop < MOEOT >(), comparator(paretoComparator), replace(_replace)
{}
/**
* Ctor
* @param _comparator the moeoObjectiveVectorComparator used to compare solutions
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, bool _replace=true) : eoPop < MOEOT >(), comparator(_comparator), replace(_replace)
{}
/**
* Returns true if the current archive dominates _objectiveVector according to the moeoObjectiveVectorComparator given in the constructor
* @param _objectiveVector the objective vector to compare with the current archive
*/
bool dominates (const ObjectiveVector & _objectiveVector) const
{
for (unsigned int i = 0; i<size(); i++)
{
// if _objectiveVector is dominated by the ith individual of the archive...
if ( comparator(_objectiveVector, operator[](i).objectiveVector()) )
{
return true;
}
}
return false;
}
/**
* Returns true if the current archive already contains a solution with the same objective values than _objectiveVector
* @param _objectiveVector the objective vector to compare with the current archive
*/
bool contains (const ObjectiveVector & _objectiveVector) const
{
for (unsigned int i = 0; i<size(); i++)
{
if (operator[](i).objectiveVector() == _objectiveVector)
{
return true;
}
}
return false;
}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return if the _moeo is added to the archive
*/
virtual bool operator()(const MOEOT & _moeo) = 0;
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return if at least one _pop[i] is added to the archive
*/
virtual bool operator()(const eoPop < MOEOT > & _pop) = 0;
/**
* Returns true if the current archive contains the same objective vectors than the given archive _arch
* @param _arch the given archive
*/
bool equals (const moeoArchive < MOEOT > & _arch)
{
for (unsigned int i=0; i<size(); i++)
{
if (! _arch.contains(operator[](i).objectiveVector()))
{
return false;
}
}
for (unsigned int i=0; i<_arch.size() ; i++)
{
if (! contains(_arch[i].objectiveVector()))
{
return false;
}
}
return true;
}
protected:
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
*/
bool update(const MOEOT & _moeo)
{
// first step: removing the dominated solutions from the archive
for (unsigned int j=0; j<size();)
{
// if the jth solution contained in the archive is dominated by _moeo
if ( comparator(operator[](j).objectiveVector(), _moeo.objectiveVector()) )
{
operator[](j) = back();
pop_back();
}
else if (replace && (_moeo.objectiveVector() == operator[](j).objectiveVector()))
{
operator[](j) = back();
pop_back();
}
else
{
j++;
}
}
// second step: is _moeo dominated?
bool dom = false;
for (unsigned int j=0; j<size(); j++)
{
// if _moeo is dominated by the jth solution contained in the archive
if ( comparator(_moeo.objectiveVector(), operator[](j).objectiveVector()) )
{
dom = true;
break;
}
else if (!replace && (_moeo.objectiveVector() == operator[](j).objectiveVector()) )
{
dom = true;
break;
}
}
if (!dom)
{
this->push_back(_moeo);
}
return !dom;
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
*/
bool update(const eoPop < MOEOT > & _pop)
{
bool res = false;
bool tmp = false;
for (unsigned int i=0; i<_pop.size(); i++)
{
tmp = (*this).update(_pop[i]);
res = tmp || res;
}
return res;
}
/** The moeoObjectiveVectorComparator used to compare solutions */
moeoObjectiveVectorComparator < ObjectiveVector > & comparator;
/** A moeoObjectiveVectorComparator based on Pareto dominance (used as default) */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/** boolean */
bool replace;
};
#endif /*MOEOARCHIVE_H_ */

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/*
* <moeoBoundedArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoBoundedArchive.h
//-----------------------------------------------------------------------------
#ifndef MOEOBOUNDEDARCHIVE_H_
#define MOEOBOUNDEDARCHIVE_H_
#include <archive/moeoArchive.h>
/**
* This class represents a bounded archive which different parameters to specify.
*/
template < class MOEOT >
class moeoBoundedArchive : public moeoArchive < MOEOT >
{
public:
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor where you can choose your own moeoObjectiveVectorComparator and archive size.
* @param _comparator the functor used to compare objective vectors
* @param _maxSize the size of archive (must be smaller or egal to the population size)
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoBoundedArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, unsigned int _maxSize=100, bool _replace=true) : moeoArchive < MOEOT >(_comparator, _replace), maxSize(_maxSize){}
/**
* Ctor with moeoParetoObjectiveVectorComparator where you can choose your own archive size.
* @param _maxSize the size of archive (must be smaller or egal to the population size)
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoBoundedArchive(unsigned int _maxSize=100, bool _replace=true) : moeoArchive < MOEOT >(_replace), maxSize(_maxSize){}
protected:
/** archive max size */
unsigned int maxSize;
};
#endif /*MOEOBOUNDEDARCHIVE_H_*/

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/*
* <moeoEpsilonHyperboxArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoEpsilonHyperboxArchive.h
//-----------------------------------------------------------------------------
#ifndef MOEOEPSILONBOXARCHIVE_H_
#define MOEOEPSILONBOXARCHIVE_H_
#include <eoPop.h>
#include <comparator/moeoComparator.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <distance/moeoEuclideanDistance.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
#include <utils/eoRealBounds.h>
/**
* This class represents an epsilon hyperbox archive.
*/
template < class MOEOT >
class moeoEpsilonHyperboxArchive : public moeoArchive < MOEOT >
{
public:
using moeoArchive < MOEOT > :: size;
using moeoArchive < MOEOT > :: resize;
using moeoArchive < MOEOT > :: operator[];
using moeoArchive < MOEOT > :: back;
using moeoArchive < MOEOT > :: pop_back;
using moeoArchive < MOEOT > :: push_back;
using moeoArchive < MOEOT > :: begin;
using moeoArchive < MOEOT > :: end;
using moeoArchive < MOEOT > :: replace;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor where you can choose your own moeoObjectiveVectorComparator
* @param _comparator the functor used to compare objective vectors
* @param _epsilon the vector contains epsilon values for each objective
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoEpsilonHyperboxArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, std::vector<double> _epsilon, bool _replace=true) : moeoArchive < MOEOT >(_comparator, _replace), epsilon(_epsilon), bounds(0.0, 1.0), normalizer(bounds, 1.0)
{}
/**
* Default Ctor
* @param _epsilon the vector contains epsilon values for each objective
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoEpsilonHyperboxArchive(std::vector<double> _epsilon, bool _replace=true) : moeoArchive < MOEOT >(paretoComparator, _replace), epsilon(_epsilon), bounds(0.0, 1.0), normalizer(bounds, 1.0)
{}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return true if _moeo is non-dominated (and not if it is added to the archive)
*/
bool operator()(const MOEOT & _moeo)
{
bool res=false;
unsigned int i=0;
bool nonstop = true;
bool same = true;
int change = 0;
MOEOT removed;
//if the archive is empty, we accept automaticaly _moeo
if(size()==0){
push_back(_moeo);
ideal = _moeo.objectiveVector();
nadir = _moeo.objectiveVector();
res = true;
}
else{
//change bounds if necessary
change = changeBounds(_moeo);
//if change < 0, we have detected that _moeo is bad
//else there are 4 cases:
if(change >= 0){
//calculate the hyperbox corner of _moeo
ObjectiveVector corner, tmp;
corner=hyperbox(_moeo);
//test if _moeo hyperbox corner dominates a hyperbox corner of an element of the archive
while(nonstop && (i<size())){
same = true;
//calculate the hyperbox corner of the ieme element of the archive
tmp=hyperbox(operator[](i));
//CASE 1: _moeo epsilon-domine the ieme element of the archive
if(this->comparator(tmp, corner)){
std::cout << "ENTER CASE 1" << std::endl;
//test if bounds changed
//removed=operator[](i);
//delete the ieme element of the archive
if(i==size()-1)
pop_back();
else{
operator[](i)=back();
pop_back();
i--;
}
//changeBoundsByDeleting(removed);
res = true;
}//END CASE 1
//CASE 2: the ieme element of the archive epsilon-domine _moeo
else if(this->comparator(corner, tmp)){
std::cout << "ENTER CASE 2" << std::endl;
if(change == 1)
changeBoundsByDeleting(_moeo);
//we can stop
nonstop = false;
}//END CASE 2
// _moeo is no-epsilon-dominated by archive[i] and arhcive[i] is no-epsilon-dominated by _moeo
else{
//test if the hyperbox corner are the same
for(unsigned int j=0; j<corner.size(); j++)
same = same && (corner[j] == tmp[j]);
//CASE 3: _moeo is in the same hyperbox of archive[i]
if(same){
std::cout << "ENTER CASE 3" << std::endl;
// _moeo dominates archive[i]
if(this->comparator(operator[](i).objectiveVector(), _moeo.objectiveVector())){
if(i==size()-1)
pop_back();
else{
operator[](i)=back();
pop_back();
i--;
}
// removed=operator[](i);
// operator[](i) = _moeo;
// changeBoundsByDeleting(removed);
res=true;
}
// _moeo is dominated by archive[i]
else if(this->comparator(_moeo.objectiveVector(), operator[](i).objectiveVector())){
changeBoundsByDeleting(_moeo);
nonstop=false;
}
else{
//keep the one who have the shortest euclidian distance between the corner
moeoEuclideanDistance < MOEOT > dist;
double d1 = dist(_moeo.objectiveVector(), corner);
double d2 = dist(operator[](i).objectiveVector(), corner);
if(d1 <= d2){
if(i==size()-1)
pop_back();
else{
operator[](i)=back();
pop_back();
i--;
}
// removed=operator[](i);
// operator[](i) = _moeo;
// changeBoundsByDeleting(removed);
res=true;
}
else{
nonstop=false;
// changeBoundsByDeleting(_moeo);
res=true;
}
}
}//END CASE 3
}
i++;
}
//CASE 4: _moeo have is place in a empty hyperbox
if(nonstop){
std::cout << "ENTER CASE 4" << std::endl;
push_back(_moeo);
res=true;
recalculateBounds();
}//END CASE 4
}
else{
std::cout << "ENTER CASE 5" << std::endl;
}
}
return res;
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return if an archive's element is non-dominated (and not if it is added to the archive)
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
bool res, tmp = false;
for(unsigned int i=0; i<_pop.size(); i++){
tmp = (*this)(_pop[i]);
res = res || tmp;
}
return res;
}
/**
* get the nadir point
* @return ObjectiveVector corresponding to the nadir point
*/
ObjectiveVector getNadir(){
return nadir;
}
/**
* get the idealpoint
* @return ObjectiveVector corresponding to the ideal point
*/
ObjectiveVector getIdeal(){
return ideal;
}
void filtre(){
eoPop<MOEOT> pop;
for(int i=0; i<size(); i++)
pop.push_back(operator[](i));
for(int i=0; i<pop.size(); i++)
(*this)(pop[i]);
}
private:
/**
* calculate the hyperbox corner of _moeo
* @param _moeo the given individual
* @return the ObjectiveVector contains the hyperbox corner values
*/
ObjectiveVector hyperbox(const MOEOT & _moeo){
//normalize _moeo's objectiveVector
ObjectiveVector res;
res = normalizer(_moeo.objectiveVector());
// std::cout << "ObjectiveVector non normalise:"<< _moeo.objectiveVector() << std::endl;
// std::cout << "ObjectiveVector normalise:"<< res << std::endl;
//calculate the hyperbox corner
for(unsigned int i=0; i<ObjectiveVector::nObjectives(); i++){
if(ObjectiveVector::minimizing(i))
res[i] = floor(res[i]*1.0/epsilon[i]);
else
res[i] = ceil(res[i]*1.0/epsilon[i]);
}
// std::cout << "ObjectiveVector epsilone:" << res << std::endl;
return res;
}
/**
* changes ideal and nadir point if _moeo is out of bounds and is not bad
* @param _moeo the given individual
* @return if bounds changed or not (1 -> changed, 0 -> not changed, -1 -> _moeo is bad)
*/
int changeBounds(const MOEOT & _moeo){
// std::cout << "changebounds objVec: "<< _moeo.objectiveVector() << std::endl;
int res = 0;
//check if an objective is better than the corresponding of the current ideal point
for(unsigned int i=0; i<ObjectiveVector::nObjectives(); i++){
if(ObjectiveVector::minimizing(i)){
if(_moeo.objectiveVector()[i] < ideal[i]){
ideal[i]=_moeo.objectiveVector()[i];
res = 1;
}
}
else{
if(_moeo.objectiveVector()[i] > ideal[i]){
ideal[i]=_moeo.objectiveVector()[i];
res = 1;
}
}
}
//check if an objective is worst than the corresponding of the current nadir point
for(unsigned int i=0; i<ObjectiveVector::nObjectives(); i++){
if(ObjectiveVector::minimizing(i)){
if(_moeo.objectiveVector()[i] > nadir[i]){
if(res == 1)
nadir[i]=_moeo.objectiveVector()[i];
else
res = -1; // no objective is better than the ideal and some are worst than nadir -> _moeo is bad
}
}
else{
if(_moeo.objectiveVector()[i] < nadir[i]){
if(res == 1)
nadir[i]=_moeo.objectiveVector()[i];
else
res = -1; // no objective is better than the ideal and some are worst than nadir -> _moeo is bad
}
}
}
//If bounds are changed, change the scale of normalizer
if(res == 1){
ObjectiveVector mini;
ObjectiveVector maxi;
for(unsigned int i=0; i<ObjectiveVector::nObjectives(); i++){
mini[i]=std::min(ideal[i], nadir[i]);
maxi[i]=std::max(ideal[i], nadir[i]);
}
normalizer.update_by_min_max(mini, maxi);
}
// std::cout << "change nadir: " << nadir << std::endl;
// std::cout << "change ideal: " << ideal << std::endl;
// std::cout << "res: " << res << std::endl;
return res;
}
/**
* when a element is deleting, change the bounds if neccesary.
* @param _moeo the deleted individual
*/
void changeBoundsByDeleting(const MOEOT & _moeo){
for(unsigned int i=0; i< ObjectiveVector::nObjectives(); i++){
if((_moeo.objectiveVector()[i]==nadir[i]) || (_moeo.objectiveVector()[i]==ideal[i]) )
return recalculateBounds();
}
}
/**
* recalculate ideal and nadir point and change scale of normalizer
*/
void recalculateBounds(){
ObjectiveVector tmp;
ideal=operator[](0).objectiveVector();
nadir=operator[](0).objectiveVector();
if (size() > 1){
for(unsigned int i=0; i< ObjectiveVector::nObjectives(); i++){
for(unsigned int j=1; j<size(); j++){
tmp=operator[](j).objectiveVector();
if(ObjectiveVector::minimizing(i)){
if(tmp[i] < ideal[i])
ideal[i] = tmp[i];
else if(tmp[i] > nadir[i])
nadir[i] = tmp[i];
}
else{
if(tmp[i] > ideal[i]){
ideal[i] = tmp[i];
}
else if(tmp[i] < nadir[i]){
nadir[i] = tmp[i];
}
}
}
}
}
ObjectiveVector mini;
ObjectiveVector maxi;
for(unsigned int i=0; i<ObjectiveVector::nObjectives(); i++){
mini[i]=std::min(ideal[i], nadir[i]);
maxi[i]=std::max(ideal[i], nadir[i]);
}
normalizer.update_by_min_max(mini, maxi);
}
/** A moeoObjectiveVectorComparator based on Pareto dominance (used as default) */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/** epsilon values */
std::vector <double> epsilon;
/** ideal point of the archive */
ObjectiveVector ideal;
/** nadir point of the archive */
ObjectiveVector nadir;
/** bounds use by default to initialize the normalizer */
eoRealInterval bounds;
/** the objective vector normalizer */
moeoObjectiveVectorNormalizer <MOEOT> normalizer;
};
#endif /*MOEOEPSILONBOXARCHIVE_H_*/

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/*
* <moeoFitDivBoundedArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoFitDivBoundedArchive.h
//-----------------------------------------------------------------------------
#ifndef MOEOFITDIVBOUNDEDARCHIVE_H_
#define MOEOFITDIVBOUNDEDARCHIVE_H_
#include <list>
#include <eoPop.h>
#include <comparator/moeoComparator.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <diversity/moeoDiversityAssignment.h>
#include <fitness/moeoFitnessAssignment.h>
/**
* This class represents a bounded archive which different parameters to specify.
*/
template < class MOEOT >
class moeoFitDivBoundedArchive : public moeoBoundedArchive < MOEOT >
{
public:
using moeoArchive < MOEOT > :: size;
using moeoArchive < MOEOT > :: resize;
using moeoArchive < MOEOT > :: operator[];
using moeoArchive < MOEOT > :: back;
using moeoArchive < MOEOT > :: pop_back;
using moeoArchive < MOEOT > :: push_back;
using moeoArchive < MOEOT > :: begin;
using moeoArchive < MOEOT > :: end;
using moeoArchive < MOEOT > :: replace;
using moeoBoundedArchive < MOEOT > :: maxSize;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor where you can choose your own moeoComparator, moeoObjectiveVectorComparator, moeoFitnessAssignment, moeoDiversityAssignment and archive size.
* @param _indiComparator the functor used to compare MOEOT
* @param _comparator the functor used to compare objective vectors
* @param _fitness the assignment fitness method
* @param _diversity the diversity assignment method
* @param _maxSize the size of archive (must be smaller or egal to the population size)
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoFitDivBoundedArchive(moeoComparator < MOEOT > & _indiComparator, moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, moeoFitnessAssignment < MOEOT > & _fitness, moeoDiversityAssignment < MOEOT > & _diversity, unsigned int _maxSize=100, bool _replace=true) : moeoBoundedArchive < MOEOT >(_comparator, _maxSize, _replace), indiComparator(_indiComparator), fitness(_fitness), diversity(_diversity)
{}
/**
* Ctor with moeoParetoObjectiveVectorComparator where you can choose your own moeoComparator, moeoFitnessAssignment, moeoDiversityAssignment and archive size.
* @param _indiComparator the functor used to compare MOEOT
* @param _fitness the assignment fitness method
* @param _diversity the diversity assignment method
* @param _maxSize the size of archive (must be smaller or egal to the population size)
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoFitDivBoundedArchive(moeoComparator < MOEOT > & _indiComparator, moeoFitnessAssignment < MOEOT > & _fitness, moeoDiversityAssignment < MOEOT > & _diversity, unsigned int _maxSize=100, bool _replace=true) : moeoBoundedArchive < MOEOT >(_maxSize, _replace), indiComparator(_indiComparator), fitness(_fitness), diversity(_diversity)
{}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return true if _moeo is non-dominated (and not if it is added to the archive)
*/
bool operator()(const MOEOT & _moeo)
{
bool res;
res = this->update(_moeo);
if(size() > maxSize){
fitness(*this);
diversity(*this);
std::sort(begin(), end(), indiComparator);
resize(maxSize);
}
return res;
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return true if a _pop[i] is non-dominated (and not if it is added to the archive)
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
bool res;
res = this->update(_pop);
if(size() > maxSize){
fitness(*this);
diversity(*this);
std::sort(begin(), end(), indiComparator);
resize(maxSize);
}
return res;
}
private:
/**
* Wrapper which allow to used an moeoComparator in std::sort
* @param _comp the comparator to used
*/
class Wrapper
{
public:
/**
* Ctor.
* @param _comp the comparator
*/
Wrapper(moeoComparator < MOEOT > & _comp) : comp(_comp) {}
/**
* Returns true if _moeo1 is greater than _moeo2 according to the comparator
* _moeo1 the first individual
* _moeo2 the first individual
*/
bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return comp(_moeo1,_moeo2);
}
private:
/** the comparator */
moeoComparator < MOEOT > & comp;
}
indiComparator;
/** fitness assignment */
moeoFitnessAssignment < MOEOT > & fitness;
/** diversity assignment */
moeoDiversityAssignment < MOEOT > & diversity;
};
#endif /*MOEOFITDIVBOUNDEDARCHIVE_H_*/

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/*
* <moeoFixedSizeArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoFixedSizeArchive.h
//-----------------------------------------------------------------------------
#ifndef MOEOFIXEDSIZEARCHIVE_H_
#define MOEOFIXEDSIZEARCHIVE_H_
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* Abstract class for representing a fixed size archive ;
* a fixed size archive is an archive containing a given number of solutions.
*/
template < class MOEOT >
class moeoFixedSizeArchive : public moeoArchive < MOEOT >
{
public:
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor.
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoFixedSizeArchive(bool _replace=true) : moeoArchive < MOEOT >(_replace) {}
/**
* Ctor
* @param _comparator the moeoObjectiveVectorComparator used to compare solutions
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoFixedSizeArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, bool _replace=true) : moeoArchive < MOEOT >( _comparator, _replace) {}
};
#endif /*MOEOFIXEDSIZEARCHIVE_H_*/

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/*
* <moeoImprOnlyBoundedArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoIMPRONLYBOUNDEDARCHIVE.h
//-----------------------------------------------------------------------------
#ifndef MOEOImprOnlyBoundedArchive_H_
#define MOEOImprOnlyBoundedArchive_H_
#include <archive/moeoBoundedArchive.h>
#include <archive/moeoArchive.h>
/**
* This class represents a bounded archive which different parameters to specify.
*/
template < class MOEOT >
class moeoImprOnlyBoundedArchive : public moeoBoundedArchive < MOEOT >
{
public:
using moeoArchive < MOEOT > :: size;
using moeoArchive < MOEOT > :: resize;
using moeoArchive < MOEOT > :: operator[];
using moeoArchive < MOEOT > :: back;
using moeoArchive < MOEOT > :: pop_back;
using moeoArchive < MOEOT > :: push_back;
using moeoArchive < MOEOT > :: begin;
using moeoArchive < MOEOT > :: end;
using moeoArchive < MOEOT > :: replace;
using moeoBoundedArchive < MOEOT > :: maxSize;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor where you can choose your own moeoComparator and archive size.
* @param _comparator the functor used to compare objective vectors
* @param _maxSize the size of archive (must be smaller or egal to the population size)
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoImprOnlyBoundedArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, unsigned int _maxSize=100, bool _replace=true) : moeoBoundedArchive < MOEOT >(_comparator, _maxSize, _replace){}
/**
* Ctor with moeoParetoObjectiveVectorComparator where you can choose your own archive size.
* @param _maxSize the size of archive (must be smaller or egal to the population size)
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoImprOnlyBoundedArchive(unsigned int _maxSize=100, bool _replace=true) : moeoBoundedArchive < MOEOT >(_maxSize, _replace){}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return true if _moeo is non-dominated (and not if it is added to the archive)
*/
bool operator()(const MOEOT & _moeo)
{
return update(_moeo);
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return true if a _pop[i] is non-dominated (and not if it is added to the archive)
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
bool res = false;
bool tmp = false;
for (unsigned int i=0; i<_pop.size(); i++)
{
tmp = (*this).update(_pop[i]);
res = tmp || res;
}
return res;
}
private:
/**
* Updates the archive with a given individual _moeo *** NEW ***
* @param _moeo the given individual
*/
bool update(const MOEOT & _moeo)
{
// first step: removing the dominated solutions from the archive
for (unsigned int j=0; j<size();)
{
// if the jth solution contained in the archive is dominated by _moeo
if ( this->comparator(operator[](j).objectiveVector(), _moeo.objectiveVector()) )
{
operator[](j) = back();
pop_back();
}
else if (replace && (_moeo.objectiveVector() == operator[](j).objectiveVector()))
{
operator[](j) = back();
pop_back();
}
else
{
j++;
}
}
// second step: is _moeo dominated?
bool dom = false;
for (unsigned int j=0; j<size(); j++)
{
// if _moeo is dominated by the jth solution contained in the archive
if ( this->comparator(_moeo.objectiveVector(), operator[](j).objectiveVector()) )
{
dom = true;
break;
}
else if (!replace && (_moeo.objectiveVector() == operator[](j).objectiveVector()) )
{
dom = true;
break;
}
}
if (!dom)
{
if(size()<maxSize)
push_back(_moeo);
else
dom=!dom;
}
return !dom;
}
};
#endif /*MOEOIMPRONLYBOUNDEDARCHIVE_H_*/

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/*
* <moeoSPEA2Archive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoSPEA2Archive.h
//-----------------------------------------------------------------------------
#ifndef MOEOSPEA2ARCHIVE_H_
#define MOEOSPEA2ARCHIVE_H_
#include <limits>
#include <list>
#include <eoPop.h>
#include <archive/moeoFixedSizeArchive.h>
#include <comparator/moeoComparator.h>
#include <comparator/moeoFitnessThenDiversityComparator.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <distance/moeoDistance.h>
#include <distance/moeoEuclideanDistance.h>
/**
* This class represents a bounded archive as defined in the SPEA2 algorithm.
* E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103,
* Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001.
*/
template < class MOEOT >
class moeoSPEA2Archive : public moeoFixedSizeArchive < MOEOT >
{
public:
using moeoFixedSizeArchive < MOEOT > :: size;
using moeoFixedSizeArchive < MOEOT > :: resize;
using moeoFixedSizeArchive < MOEOT > :: operator[];
using moeoFixedSizeArchive < MOEOT > :: back;
using moeoFixedSizeArchive < MOEOT > :: pop_back;
using moeoFixedSizeArchive < MOEOT > :: push_back;
using moeoFixedSizeArchive < MOEOT > :: begin;
using moeoFixedSizeArchive < MOEOT > :: end;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor.
* @param _maxSize the size of archive (must be smaller or equal to the population size)
*/
moeoSPEA2Archive(unsigned int _maxSize=100): moeoFixedSizeArchive < MOEOT >(true), maxSize(_maxSize), borne(0), indiComparator(defaultComparator), distance(defaultDistance)
{}
/**l
* Ctor where you can choose your own moeoDistance
* @param _dist the distance used
* @param _maxSize the size of archive (must be smaller or egal to the population size)
*/
moeoSPEA2Archive(moeoDistance <MOEOT, double>& _dist, unsigned int _maxSize=100): moeoFixedSizeArchive < MOEOT >(true), maxSize(_maxSize), borne(0), indiComparator(defaultComparator), distance(_dist)
{}
/**
* Ctor where you can choose your own moeoObjectiveVectorComparator
* @param _comparator the functor used to compare objective vectors
* @param _maxSize the size of archive (must be smaller or egal to the population size)
*/
moeoSPEA2Archive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, unsigned int _maxSize=100): moeoFixedSizeArchive < MOEOT >(_comparator, true), maxSize(_maxSize), borne(0), indiComparator(defaultComparator), distance(defaultDistance)
{}
/**
* Ctor where you can choose your own moeoComparator
* @param _indiComparator the functor used to compare MOEOT
* @param _maxSize the size of archive (must be smaller or egal to the population size)
*/
moeoSPEA2Archive(moeoComparator <MOEOT>& _indiComparator, unsigned int _maxSize=100): moeoFixedSizeArchive < MOEOT >(true), maxSize(_maxSize), borne(0), indiComparator(_indiComparator), distance(defaultDistance)
{}
/**
* Ctor where you can choose your own moeoComparator, moeoDistance and moeoObjectiveVectorComparator
* @param _indiComparator the functor used to compare MOEOT
* @param _dist the distance used
* @param _comparator the functor used to compare objective vectors
* @param _maxSize the size of archive (must be smaller or egal to the population size)
*/
moeoSPEA2Archive(moeoComparator <MOEOT>& _indiComparator, moeoDistance <MOEOT, double>& _dist, moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, unsigned int _maxSize=100) : moeoFixedSizeArchive < MOEOT >(_comparator, true), maxSize(_maxSize), borne(0), indiComparator(_indiComparator), distance(_dist)
{}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return true (TODO)
*/
bool operator()(const MOEOT & _moeo)
{
eoPop < MOEOT > pop_tmp;
pop_tmp.push_back(_moeo);
operator()(pop_tmp);
return true;
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return true (TODO)
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
unsigned int i;
unsigned int foo=0;
//Creation of the vector that contains minimal pop's informations
std::vector<struct refpop> copy_pop(_pop.size());
for (i=0;i<_pop.size(); i++)
{
copy_pop[i].index=i;
copy_pop[i].fitness=_pop[i].fitness();
copy_pop[i].diversity=_pop[i].diversity();
}
//Sort this vector in decrease order of fitness+diversity
std::sort(copy_pop.begin(), copy_pop.end(), Cmp());
//If the archive is empty, put in the best elements of the pop
if (borne < maxSize)
{
foo= std::min((unsigned int)_pop.size(), maxSize-borne);
for (i=0; i< foo ; i++)
{
push_back(_pop[copy_pop[i].index]);
borne++;
}
}
else
{
unsigned int j=0;
//Sort the archive
std::sort(begin(), end(), indiComparator);
i=0;
//While we have a better element in pop than the worst <= -1 in the archive, replace the worst(of archive) by the best(of pop)
while ( (i<borne) && ( (operator[](i).fitness()+operator[](i).diversity()) < (copy_pop[j].fitness + copy_pop[j].diversity) ) && (operator[](i).fitness()<=-1) && ( j < copy_pop.size() ) )
{
operator[](i)= back();
pop_back();
push_back(_pop[copy_pop[j].index]);
i++;
j++;
}
//If their are others goods elements in pop (fitness=0) , keep only archive's size elements between the archive's elements and the good element in the pop (k ieme smallest distance is used)
if (copy_pop[j].fitness > -1)
{
unsigned int inf=j;
unsigned int p;
unsigned int k=0;
unsigned int l=0;
double tmp=0;
unsigned int tmp2=0;
//search bounds of copy_pop where are the goods elements
while ((j < copy_pop.size()) && (copy_pop[j].fitness > -1.0))
j++;
p=j-inf;
std::vector< std::vector< std::pair<int,double> > > matrice(borne+p);
//Build the distance matrice(vector of vector) between each keeped elements
if (borne+p>0)
{
for (k=0; k<borne+p-1; k++)
{
for (l=k+1; l<borne+p; l++)
{
if ( (k<borne) && (l<borne) )
tmp=distance(operator[](k), operator[](l));
else if ( (k<borne) && (l>=borne) )
tmp=distance(operator[](k), _pop[copy_pop[l-borne+inf].index]);
else
tmp=distance(_pop[copy_pop[k-borne+inf].index], _pop[copy_pop[l-borne+inf].index]);
matrice[k].push_back(std::pair<int,double>(l,tmp));
matrice[l].push_back(std::pair<int,double>(k,tmp));
}
}
}
for (k=0; k<borne+p; k++)
{
//sort each line of the matrice
std::sort(matrice[k].begin(),matrice[k].end(), CmpPair());
//insert an indice at the end of each line after they were be sorted
matrice[k].push_back(std::pair<int,double>(-1,k));
}
//sort the lines of the matrice between us (by shortest distance)
std::sort(matrice.begin(),matrice.end(), CmpVector());
//vectors and iterators used to replace some archive element by some pop element
std::vector<unsigned int> notkeeped;
std::vector<unsigned int> keeped;
std::vector< std::vector< std::pair<int,double> > >::iterator matrice_it=matrice.begin();
std::vector< std::pair<int,double> >::iterator it;
//search elements of the archive to delete
for (k=0; k<p; k++)
{
tmp2=(unsigned int)matrice[0].back().second;
if (tmp2<borne)
notkeeped.push_back(tmp2);
matrice.erase(matrice_it);
for (l=0; l<matrice.size(); l++)
{
it=matrice[l].begin();
while ((unsigned int)(*it).first != tmp2)
it++;
matrice[l].erase(it);
}
if (k != (p-1))
std::sort(matrice.begin(),matrice.end(), CmpVector());
}
//search elements of pop to put in archive
for (k=0; k<borne; k++)
{
tmp2=(unsigned int)matrice[k].back().second;
if (tmp2 >= borne)
keeped.push_back(tmp2);
}
//replace some archive element by some pop element
for (k=0; k<keeped.size(); k++)
{
push_back( _pop[ copy_pop[keeped[k]-borne+inf].index ] );
operator[](notkeeped[k]) = back();
pop_back();
}
}
}
return true;
}//endoperator()
private:
/** archive max size */
unsigned int maxSize;
/** archive size */
unsigned int borne;
/**
* Wrapper which allow to used an moeoComparator in std::sort
* @param _comp the comparator to used
*/
class Wrapper
{
public:
/**
* Ctor.
* @param _comp the comparator
*/
Wrapper(moeoComparator < MOEOT > & _comp) : comp(_comp) {}
/**
* Returns true if _moeo1 is greater than _moeo2 according to the comparator
* _moeo1 the first individual
* _moeo2 the first individual
*/
bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return comp(_moeo1,_moeo2);
}
private:
/** the comparator */
moeoComparator < MOEOT > & comp;
}
indiComparator;
/** default moeoComparator*/
moeoFitnessThenDiversityComparator < MOEOT > defaultComparator;
/** distance */
moeoDistance <MOEOT, double>& distance;
/** default distance */
moeoEuclideanDistance < MOEOT > defaultDistance;
/**
* Structure needs to copy informations of the pop in order to sort it
*/
struct refpop
{
unsigned int index;
double fitness;
double diversity;
};
/**
* Comparator of struct refpop : compare fitness+divesity
*/
struct Cmp
{
bool operator()(const struct refpop& _a, const struct refpop& _b)
{
return ( (_a.diversity + _a.fitness) > (_b.diversity + _b.fitness) );
}
};
/**
* Comparator of two vector of pair
* Compare the second pair's value of the first element vector, if equals compare the next element vector...
*/
struct CmpVector
{
bool operator()( const std::vector< std::pair<int,double> >& _a, const std::vector< std::pair<int,double> >& _b)
{
std::vector< std::pair<int,double> >::const_iterator it1= _a.begin();
std::vector< std::pair<int,double> >::const_iterator it2= _b.begin();
while ( (it1 != _a.end()) && (it2 != _b.end()))
{
if ((*it1).second < (*it2).second)
return true;
else if ((*it1).second > (*it2).second)
return false;
it1++;
it2++;
}
return true;
}
};
/**
* Comparator of two pair : compare the second pair's value
*/
struct CmpPair
{
bool operator()(const std::pair<int,double>& _a, const std::pair<int,double>& _b)
{
return _a.second < _b.second;
}
};
};
#endif /*MOEOSPEA2ARCHIVE_H_*/

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/*
* <moeoUnboundedArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoUnboundedArchive.h
//-----------------------------------------------------------------------------
#ifndef MOEOUNBOUNDEDARCHIVE_H_
#define MOEOUNBOUNDEDARCHIVE_H_
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* An unbounded archive is an archive storing an unbounded number of non-dominated solutions.
*/
template < class MOEOT >
class moeoUnboundedArchive : public moeoArchive < MOEOT >
{
public:
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor.
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoUnboundedArchive(bool _replace=true) : moeoArchive < MOEOT >(_replace) {}
/**
* Ctor
* @param _comparator the moeoObjectiveVectorComparator used to compare solutions
* @param _replace boolean which determine if a solution with the same objectiveVector than another one, can replace it or not
*/
moeoUnboundedArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, bool _replace=true) : moeoArchive < MOEOT >(_comparator, _replace) {}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
* @return true if _moeo is added to the archive
*/
bool operator()(const MOEOT & _moeo)
{
return this->update(_moeo);
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
* @return true if a _pop[i] is added to the archive
*/
bool operator()(const eoPop < MOEOT > & _pop)
{
return this->update(_pop);
}
};
#endif /*MOEOUNBOUNDEDARCHIVE_H_*/

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/*
* <moeoAggregativeComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOAGGREGATIVECOMPARATOR_H_
#define MOEOAGGREGATIVECOMPARATOR_H_
#include <comparator/moeoComparator.h>
/**
* Functor allowing to compare two solutions according to their fitness and diversity values, each according to its aggregative value.
*/
template < class MOEOT >
class moeoAggregativeComparator : public moeoComparator < MOEOT >
{
public:
/**
* Ctor.
* @param _weightFitness the weight for fitness
* @param _weightDiversity the weight for diversity
*/
moeoAggregativeComparator(double _weightFitness = 1.0, double _weightDiversity = 1.0) : weightFitness(_weightFitness), weightDiversity(_weightDiversity)
{}
/**
* Returns true if _moeo1 < _moeo2 according to the aggregation of their fitness and diversity values
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return ( weightFitness * _moeo1.fitness() + weightDiversity * _moeo1.diversity() ) < ( weightFitness * _moeo2.fitness() + weightDiversity * _moeo2.diversity() );
}
private:
/** the weight for fitness */
double weightFitness;
/** the weight for diversity */
double weightDiversity;
};
#endif /*MOEOAGGREGATIVECOMPARATOR_H_*/

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/*
* <moeoComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCOMPARATOR_H_
#define MOEOCOMPARATOR_H_
#include <eoFunctor.h>
/**
* Functor allowing to compare two solutions.
*/
template < class MOEOT >
class moeoComparator : public eoBF < const MOEOT &, const MOEOT &, const bool >
{};
#endif /*MOEOCOMPARATOR_H_*/

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/*
* <moeoDiversityThenFitnessComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODIVERSITYTHENFITNESSCOMPARATOR_H_
#define MOEODIVERSITYTHENFITNESSCOMPARATOR_H_
#include <comparator/moeoComparator.h>
/**
* Functor allowing to compare two solutions according to their diversity values, then according to their fitness values.
*/
template < class MOEOT >
class moeoDiversityThenFitnessComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 < _moeo2 according to their diversity values, then according to their fitness values
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
if (_moeo1.diversity() == _moeo2.diversity())
{
return _moeo1.fitness() < _moeo2.fitness();
}
else
{
return _moeo1.diversity() < _moeo2.diversity();
}
}
};
#endif /*MOEODIVERSITYTHENFITNESSCOMPARATOR_H_*/

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/*
* <moeoEpsilonObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEPSILONOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOEPSILONOBJECTIVEVECTORCOMPARATOR_H_
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* This functor class allows to compare 2 objective vectors according to epsilon dominance.
*/
template < class ObjectiveVector >
class moeoEpsilonObjectiveVectorComparator : public moeoObjectiveVectorComparator < ObjectiveVector >
{
public:
/**
* Ctor.
* @param _epsilon the epsilon value
*/
moeoEpsilonObjectiveVectorComparator(double _epsilon) : epsilon(_epsilon)
{}
/**
* Returns true if _objectiveVector1 is epsilon-dominated by _objectiveVector2
* @param _objectiveVector1 the first objective vector
* @param _objectiveVector2 the second objective vector
*/
const bool operator()(const ObjectiveVector & _objectiveVector1, const ObjectiveVector & _objectiveVector2)
{
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
// _objectiveVector1[i] == _objectiveVector2[i] ?
if ( fabs((_objectiveVector1[i]/ epsilon) - _objectiveVector2[i]) > ObjectiveVector::Traits::tolerance() )
{
if (ObjectiveVector::minimizing(i))
{
if ((_objectiveVector1[i] / epsilon) <= _objectiveVector2[i])
{
return false; // _objectiveVector1[i] is not better than _objectiveVector2[i]
}
}
else if (ObjectiveVector::maximizing(i))
{
if ((_objectiveVector1[i] / epsilon) >= _objectiveVector2[i])
{
return false; // _objectiveVector1[i] is not better than _objectiveVector2[i]
}
}
}
}
return true;
}
private:
/** the reference point */
double epsilon;
};
#endif /*MOEOEPSILONOBJECTIVEVECTORCOMPARATOR_H_*/

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/*
* <moeoFitnessComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOFITNESSCOMPARATOR_H_
#define MOEOFITNESSCOMPARATOR_H_
#include <comparator/moeoComparator.h>
/**
* Functor allowing to compare two solutions according to their fitness values
*/
template < class MOEOT >
class moeoFitnessComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 < _moeo2 according to their fitness values
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return _moeo1.fitness() < _moeo2.fitness();
}
};
#endif /*MOEOFITNESSCOMPARATOR_H_*/

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/*
* <moeoFitnessThenDiversityComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOFITNESSTHENDIVERSITYCOMPARATOR_H_
#define MOEOFITNESSTHENDIVERSITYCOMPARATOR_H_
#include <comparator/moeoComparator.h>
/**
* Functor allowing to compare two solutions according to their fitness values, then according to their diversity values.
*/
template < class MOEOT >
class moeoFitnessThenDiversityComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 < _moeo2 according to their fitness values, then according to their diversity values
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
if (_moeo1.fitness() == _moeo2.fitness())
{
return _moeo1.diversity() < _moeo2.diversity();
}
else
{
return _moeo1.fitness() < _moeo2.fitness();
}
}
};
#endif /*MOEOFITNESSTHENDIVERSITYCOMPARATOR_H_*/

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/*
* <moeoGDominanceObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOGDOMINANCEOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOGDOMINANCEOBJECTIVEVECTORCOMPARATOR_H_
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* This functor class allows to compare 2 objective vectors according to g-dominance.
* The concept of g-dominance as been introduced in:
* J. Molina, L. V. Santana, A. G. Hernandez-Diaz, C. A. Coello Coello, R. Caballero,
* "g-dominance: Reference point based dominance" (2007)
*/
template < class ObjectiveVector >
class moeoGDominanceObjectiveVectorComparator : public moeoObjectiveVectorComparator < ObjectiveVector >
{
public:
/**
* Ctor.
* @param _ref the reference point
*/
moeoGDominanceObjectiveVectorComparator(ObjectiveVector & _ref) : ref(_ref)
{}
/**
* Returns true if _objectiveVector1 is g-dominated by _objectiveVector2.
* @param _objectiveVector1 the first objective vector
* @param _objectiveVector2 the second objective vector
*/
const bool operator()(const ObjectiveVector & _objectiveVector1, const ObjectiveVector & _objectiveVector2)
{
unsigned int flag1 = flag(_objectiveVector1);
unsigned int flag2 = flag(_objectiveVector2);
if (flag2==0)
{
// cannot dominate
return false;
}
else if ( (flag2==1) && (flag1==0) )
{
// is dominated
return true;
}
else // (flag1==1) && (flag2==1)
{
// both are on the good region, so let's use the classical Pareto dominance
return paretoComparator(_objectiveVector1, _objectiveVector2);
}
}
private:
/** the reference point */
ObjectiveVector & ref;
/** Pareto comparator */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/**
* Returns the flag of _objectiveVector according to the reference point
* @param _objectiveVector the first objective vector
*/
unsigned int flag(const ObjectiveVector & _objectiveVector)
{
unsigned int result=1;
for (unsigned int i=0; i<ref.nObjectives(); i++)
{
if (_objectiveVector[i] > ref[i])
{
result=0;
}
}
if (result==0)
{
result=1;
for (unsigned int i=0; i<ref.nObjectives(); i++)
{
if (_objectiveVector[i] < ref[i])
{
result=0;
}
}
}
return result;
}
};
#endif /*MOEOGDOMINANCEOBJECTIVEVECTORCOMPARATOR_H_*/

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/*
* <moeoObjectiveObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOOBJECTIVEOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOOBJECTIVEOBJECTIVEVECTORCOMPARATOR_H_
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* Functor allowing to compare two objective vectors according to their first objective value, then their second, and so on.
*/
template < class ObjectiveVector >
class moeoObjectiveObjectiveVectorComparator : public moeoObjectiveVectorComparator < ObjectiveVector >
{
public:
/**
* Returns true if _objectiveVector1 < _objectiveVector2 on the first objective, then on the second, and so on
* @param _objectiveVector1 the first objective vector
* @param _objectiveVector2 the second objective vector
*/
const bool operator()(const ObjectiveVector & _objectiveVector1, const ObjectiveVector & _objectiveVector2)
{
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
if ( fabs(_objectiveVector1[i] - _objectiveVector2[i]) > ObjectiveVector::Traits::tolerance() )
{
if (_objectiveVector1[i] < _objectiveVector2[i])
{
return true;
}
else
{
return false;
}
}
}
return false;
}
};
#endif /*MOEOOBJECTIVEOBJECTIVEVECTORCOMPARATOR_H_*/

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/*
* <moeoObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOOBJECTIVEVECTORCOMPARATOR_H_
#include <math.h>
#include <eoFunctor.h>
/**
* Abstract class allowing to compare 2 objective vectors.
* The template argument ObjectiveVector have to be a moeoObjectiveVector.
*/
template < class ObjectiveVector >
class moeoObjectiveVectorComparator : public eoBF < const ObjectiveVector &, const ObjectiveVector &, const bool >
{};
#endif /*MOEOOBJECTIVEVECTORCOMPARATOR_H_*/

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/*
* <moeoOneObjectiveComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOONEOBJECTIVECOMPARATOR_H_
#define MOEOONEOBJECTIVECOMPARATOR_H_
#include <comparator/moeoComparator.h>
/**
* Functor allowing to compare two solutions according to one objective.
*/
template < class MOEOT >
class moeoOneObjectiveComparator : public moeoComparator < MOEOT >
{
public:
/**
* Ctor.
* @param _obj the index of objective
*/
moeoOneObjectiveComparator(unsigned int _obj) : obj(_obj)
{
if (obj > MOEOT::ObjectiveVector::nObjectives())
{
throw std::runtime_error("Problem with the index of objective in moeoOneObjectiveComparator");
}
}
/**
* Returns true if _moeo1 < _moeo2 on the obj objective
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return _moeo1.objectiveVector()[obj] < _moeo2.objectiveVector()[obj];
}
private:
/** the index of objective */
unsigned int obj;
};
#endif /*MOEOONEOBJECTIVECOMPARATOR_H_*/

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/*
* <moeoParetoObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOPARETOOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOPARETOOBJECTIVEVECTORCOMPARATOR_H_
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* This functor class allows to compare 2 objective vectors according to Pareto dominance.
*/
template < class ObjectiveVector >
class moeoParetoObjectiveVectorComparator : public moeoObjectiveVectorComparator < ObjectiveVector >
{
public:
/**
* Returns true if _objectiveVector1 is dominated by _objectiveVector2
* @param _objectiveVector1 the first objective vector
* @param _objectiveVector2 the second objective vector
*/
const bool operator()(const ObjectiveVector & _objectiveVector1, const ObjectiveVector & _objectiveVector2)
{
bool dom = false;
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
// first, we have to check if the 2 objective values are not equal for the ith objective
if ( fabs(_objectiveVector1[i] - _objectiveVector2[i]) > ObjectiveVector::Traits::tolerance() )
{
// if the ith objective have to be minimized...
if (ObjectiveVector::minimizing(i))
{
if (_objectiveVector1[i] > _objectiveVector2[i])
{
dom = true; //_objectiveVector1[i] is not better than _objectiveVector2[i]
}
else
{
return false; //_objectiveVector2 cannot dominate _objectiveVector1
}
}
// if the ith objective have to be maximized...
else if (ObjectiveVector::maximizing(i))
{
if (_objectiveVector1[i] < _objectiveVector2[i])
{
dom = true; //_objectiveVector1[i] is not better than _objectiveVector2[i]
}
else
{
return false; //_objectiveVector2 cannot dominate _objectiveVector1
}
}
}
}
return dom;
}
};
#endif /*MOEOPARETOOBJECTIVEVECTORCOMPARATOR_H_*/

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/***************************************************************************
* Copyright (C) 2008 by Waldo Cancino *
* wcancino@icmc.usp.br *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program; if not, write to the *
* Free Software Foundation, Inc., *
* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
***************************************************************************/
#ifndef MOEOPTRCOMPARATOR_H_
#define MOEOPTRCOMPARATOR_H_
#include <comparator/moeoComparator.h>
/**
* Functor allowing to compare two solutions.referenced by pointers.
* Several MOEO related stuff have to sort populations according some criterion
* Instead to do this, we used a vector whose elements are pointers to true individuals
*/
template < class MOEOT >
class moeoPtrComparator : public eoBF < const MOEOT *, const MOEOT *, const bool >
{
public:
/**
* Ctor with a comparator
* @param _cmp comparator to be employed
*/
moeoPtrComparator( moeoComparator<MOEOT> & _cmp) : cmp(_cmp) {}
/** compare two const individuals */
const bool operator() (const MOEOT *ptr1, const MOEOT *ptr2)
{
return cmp(*ptr1, *ptr2);
}
/** compare two non const individuals */
const bool operator() (MOEOT *ptr1, MOEOT *ptr2)
{
return cmp(*ptr1, *ptr2);
}
private:
moeoComparator<MOEOT> &cmp;
};
#endif /*MOEOPTRCOMPARATOR_H_*/

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/*
* <moeoStrictObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOSTRICTOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOSTRICTOBJECTIVEVECTORCOMPARATOR_H_
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* This functor class allows to compare 2 objective vectors according to strict dominance.
*/
template < class ObjectiveVector >
class moeoStrictObjectiveVectorComparator : public moeoObjectiveVectorComparator < ObjectiveVector >
{
public:
/**
* Returns true if _objectiveVector1 is strictly dominated by _objectiveVector2
* @param _objectiveVector1 the first objective vector
* @param _objectiveVector2 the second objective vector
*/
const bool operator()(const ObjectiveVector & _objectiveVector1, const ObjectiveVector & _objectiveVector2)
{
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
// _objectiveVector1[i] == _objectiveVector2[i] ?
if ( fabs(_objectiveVector1[i] - _objectiveVector2[i]) < ObjectiveVector::Traits::tolerance() )
{
return false; // _objectiveVector1[i] is not STRICTLY better than _objectiveVector2[i]
}
else if (ObjectiveVector::minimizing(i))
{
if (_objectiveVector1[i] < _objectiveVector2[i])
{
return false; // _objectiveVector1[i] is not better than _objectiveVector2[i]
}
}
else if (ObjectiveVector::maximizing(i))
{
if (_objectiveVector1[i] > _objectiveVector2[i])
{
return false; // _objectiveVector1[i] is not better than _objectiveVector2[i]
}
}
}
return true;
}
};
#endif /*MOEOSTRICTOBJECTIVEVECTORCOMPARATOR_H_*/

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/*
* <moeoWeakObjectiveVectorComparator.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOWEAKOBJECTIVEVECTORCOMPARATOR_H_
#define MOEOWEAKOBJECTIVEVECTORCOMPARATOR_H_
#include <comparator/moeoObjectiveVectorComparator.h>
/**
* This functor class allows to compare 2 objective vectors according to weak dominance.
*/
template < class ObjectiveVector >
class moeoWeakObjectiveVectorComparator : public moeoObjectiveVectorComparator < ObjectiveVector >
{
public:
/**
* Returns true if _objectiveVector1 is weakly dominated by _objectiveVector2
* @param _objectiveVector1 the first objective vector
* @param _objectiveVector2 the second objective vector
*/
const bool operator()(const ObjectiveVector & _objectiveVector1, const ObjectiveVector & _objectiveVector2)
{
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
// _objectiveVector1[i] == _objectiveVector2[i] ?
if ( fabs(_objectiveVector1[i] - _objectiveVector2[i]) > ObjectiveVector::Traits::tolerance() )
{
if (ObjectiveVector::minimizing(i))
{
if (_objectiveVector1[i] < _objectiveVector2[i])
{
return false; // _objectiveVector1[i] is not better than _objectiveVector2[i]
}
}
else if (ObjectiveVector::maximizing(i))
{
if (_objectiveVector1[i] > _objectiveVector2[i])
{
return false; // _objectiveVector1[i] is not better than _objectiveVector2[i]
}
}
}
}
return true;
}
};
#endif /*MOEOWEAKOBJECTIVEVECTORCOMPARATOR_H_*/

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trunk/moeo/src/core/MOEO.h Normal file
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/*
* <MOEO.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEO_H_
#define MOEO_H_
#include <iostream>
#include <stdexcept>
#include <string>
#include <EO.h>
/**
* Base class allowing to represent a solution (an individual) for multi-objective optimization.
* The template argument MOEOObjectiveVector allows to represent the solution in the objective space (it can be a moeoObjectiveVector object).
* The template argument MOEOFitness is an object reflecting the quality of the solution in term of convergence (the fitness of a solution is always to be maximized).
* The template argument MOEODiversity is an object reflecting the quality of the solution in term of diversity (the diversity of a solution is always to be maximized).
* All template arguments must have a void and a copy constructor.
* Using some specific representations, you will have to define a copy constructor if the default one is not what you want.
* In the same cases, you will also have to define the affectation operator (operator=).
* Then, you will explicitly have to call the parent copy constructor and the parent affectation operator at the beginning of the corresponding implementation.
* Besides, note that, contrary to the mono-objective case (and to EO) where the fitness value of a solution is confused with its objective value,
* the fitness value differs of the objectives values in the multi-objective case.
*/
/*
template < typename DataType, typename DataTypeEx > struct Wrapper {
Wrapper() {}
Wrapper( const DataType& data )
: embededData( data ) {}
Wrapper( const Wrapper& wrapper )
: embededData( wrapper.embededData ), embededDataEx( wrapper.embededDataEx ) {}
operator const DataType& () const { return embededData; }
Wrapper& operator= ( const Wrapper& wrapper ) {
embededData = wrapper.embededData;
embededDataEx = wrapper.embededDataEx;
return *this;
}
Wrapper& operator= ( const DataType& data ) {
embededData = data;
return *this;
}
DataType embededData;
DataTypeEx embededDataEx;
};
**/
template < class MOEOObjectiveVector, class MOEOFitness=double, class MOEODiversity=double >
class MOEO : public EO < MOEOObjectiveVector >
{
public:
/** the objective vector type of a solution */
typedef MOEOObjectiveVector ObjectiveVector;
/** the fitness type of a solution */
typedef MOEOFitness Fitness;
// typedef Wrapper< MOEOFitness, MOEOObjectiveVector > Fitness;
/** the diversity type of a solution */
typedef MOEODiversity Diversity;
/**
* Ctor
*/
MOEO()
{
// default values for every parameters
objectiveVectorValue = ObjectiveVector();
fitnessValue = Fitness();
diversityValue = Diversity();
// invalidate all
invalidate();
flagValue=0;
}
/**
* Virtual dtor
*/
virtual ~MOEO()
{};
/**
* Returns the objective vector of the current solution
*/
ObjectiveVector objectiveVector() const
{
if ( invalidObjectiveVector() )
{
throw std::runtime_error("invalid objective vector in MOEO");
}
return objectiveVectorValue;
}
/**
* Sets one dimension of the objective vector
* @param _dim dimension of the objective vector to set
* @param _value the new value of the corresponding objective
*/
void objectiveVector(unsigned int _dim, typename ObjectiveVector::Type _value)
{
objectiveVectorValue[_dim] = _value;
invalidObjectiveVectorValue = false;
}
/**
* Gets one dimension of the objective vector
* @param _dim dimension of the objective vector to set
*/
typename ObjectiveVector::Type objectiveVector(unsigned int _dim)
{
return objectiveVectorValue[_dim];
}
/**
* Sets the objective vector of the current solution
* @param _objectiveVectorValue the new objective vector
*/
void objectiveVector(const ObjectiveVector & _objectiveVectorValue)
{
objectiveVectorValue = _objectiveVectorValue;
invalidObjectiveVectorValue = false;
}
/**
* Sets the objective vector as invalid
*/
void invalidateObjectiveVector()
{
invalidObjectiveVectorValue = true;
}
/**
* Returns true if the objective vector is invalid, false otherwise
*/
bool invalidObjectiveVector() const
{
return invalidObjectiveVectorValue;
}
/**
* Returns the fitness value of the current solution
*/
Fitness fitness() const
{
if ( invalidFitness() )
{
throw std::runtime_error("invalid fitness in MOEO");
}
// const_cast< Fitness& >( fitnessValue ).embededDataEx = objectiveVectorValue;
return fitnessValue;
}
/**
* Sets the fitness value of the current solution
* @param _fitnessValue the new fitness value
*/
void fitness(const Fitness & _fitnessValue)
{
fitnessValue = _fitnessValue;
invalidFitnessValue = false;
}
/**
* Sets the fitness value as invalid
*/
void invalidateFitness()
{
invalidFitnessValue = true;
}
/**
* Returns true if the fitness value is invalid, false otherwise
*/
bool invalidFitness() const
{
return invalidFitnessValue;
}
/**
* Returns the diversity value of the current solution
*/
Diversity diversity() const
{
if ( invalidDiversity() )
{
throw std::runtime_error("invalid diversity in MOEO");
}
return diversityValue;
}
/**
* Sets the diversity value of the current solution
* @param _diversityValue the new diversity value
*/
void diversity(const Diversity & _diversityValue)
{
diversityValue = _diversityValue;
invalidDiversityValue = false;
}
/**
* Sets the diversity value as invalid
*/
void invalidateDiversity()
{
invalidDiversityValue = true;
}
/**
* Returns true if the diversity value is invalid, false otherwise
*/
bool invalidDiversity() const
{
return invalidDiversityValue;
}
/**
* Sets the objective vector, the fitness value and the diversity value as invalid
*/
void invalidate()
{
invalidateObjectiveVector();
invalidateFitness();
invalidateDiversity();
}
/**
* Returns true if the objective values are invalid, false otherwise
*/
bool invalid() const
{
return invalidObjectiveVector();
}
/**
* Returns true if the objective vector of the current solution is smaller than the objective vector of _other on the first objective,
* then on the second, and so on (can be usefull for sorting/printing).
* You should implement another function in the sub-class of MOEO to have another sorting mecanism.
* @param _other the other MOEO object to compare with
*/
bool operator<(const MOEO & _other) const
{
return objectiveVector() < _other.objectiveVector();
}
/**
* Return the class id (the class name as a std::string)
*/
virtual std::string className() const
{
return "MOEO";
}
/**
* Writing object
* @param _os output stream
*/
virtual void printOn(std::ostream & _os) const
{
if ( invalidObjectiveVector() )
{
_os << "INVALID ";
}
else
{
_os << objectiveVectorValue << ' ';
}
}
/**
* Reading object
* @param _is input stream
*/
virtual void readFrom(std::istream & _is)
{
std::string objectiveVector_str;
int pos = _is.tellg();
_is >> objectiveVector_str;
if (objectiveVector_str == "INVALID")
{
invalidateObjectiveVector();
}
else
{
invalidObjectiveVectorValue = false;
_is.seekg(pos); // rewind
_is >> objectiveVectorValue;
}
}
/**
* Setter for "flag"
* @param _flag the flag value
*/
void flag(int _flag){
flagValue=_flag;
}
/**
* Getter for "flag"
* @return the flag value
*/
int flag() const{
return flagValue;
}
private:
/** the objective vector of this solution */
ObjectiveVector objectiveVectorValue;
/** true if the objective vector is invalid */
bool invalidObjectiveVectorValue;
/** the fitness value of this solution */
Fitness fitnessValue;
/** true if the fitness value is invalid */
bool invalidFitnessValue;
/** the diversity value of this solution */
Diversity diversityValue;
/** true if the diversity value is invalid */
bool invalidDiversityValue;
/** A flag which can be used to stock information*/
int flagValue;
};
#endif /*MOEO_H_*/

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/*
* <moeoBitVector.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOBITVECTOR_H_
#define MOEOBITVECTOR_H_
#include <core/moeoVector.h>
/**
* This class is an implementationeo of a simple bit-valued moeoVector.
*/
template < class MOEOObjectiveVector, class MOEOFitness=double, class MOEODiversity=double >
class moeoBitVector : public moeoVector < MOEOObjectiveVector, bool, MOEOFitness, MOEODiversity >
{
public:
using moeoVector < MOEOObjectiveVector, bool, MOEOFitness, MOEODiversity > :: begin;
using moeoVector < MOEOObjectiveVector, bool, MOEOFitness, MOEODiversity > :: end;
using moeoVector < MOEOObjectiveVector, bool, MOEOFitness, MOEODiversity > :: resize;
using moeoVector < MOEOObjectiveVector, bool, MOEOFitness, MOEODiversity > :: size;
/**
* Ctor
* @param _size Length of vector (default is 0)
* @param _value Initial value of all elements (default is default value of type GeneType)
*/
moeoBitVector(unsigned int _size = 0, bool _value = false) : moeoVector< MOEOObjectiveVector, bool, MOEOFitness, MOEODiversity >(_size, _value)
{}
/**
* Returns the class name as a std::string
*/
virtual std::string className() const
{
return "moeoBitVector";
}
/**
* Writing object
* @param _os output stream
*/
virtual void printOn(std::ostream & _os) const
{
MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >::printOn(_os);
_os << ' ';
_os << size() << ' ';
std::copy(begin(), end(), std::ostream_iterator<bool>(_os));
}
/**
* Reading object
* @param _is input stream
*/
virtual void readFrom(std::istream & _is)
{
MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >::readFrom(_is);
unsigned int s;
_is >> s;
std::string bits;
_is >> bits;
if (_is)
{
resize(bits.size());
std::transform(bits.begin(), bits.end(), begin(), std::bind2nd(std::equal_to<char>(), '1'));
}
}
};
#endif /*MOEOBITVECTOR_H_*/

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/*
* <moeoEvalFunc.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEVALFUNC_H_
#define MOEOEVALFUNC_H_
#include <eoEvalFunc.h>
/*
* Functor that evaluates one MOEO by setting all its objective values.
*/
template < class MOEOT >
class moeoEvalFunc : public eoEvalFunc< MOEOT >
{};
#endif /*MOEOEVALFUNC_H_*/

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/*
* <moeoIntVector.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOINTVECTOR_H_
#define MOEOINTVECTOR_H_
#include <core/moeoVector.h>
/**
* This class is an implementation of a simple double-valued moeoVector.
*/
template < class MOEOObjectiveVector, class MOEOFitness=double, class MOEODiversity=double >
class moeoIntVector : public moeoVector < MOEOObjectiveVector, int, MOEOFitness, MOEODiversity >
{
public:
/**
* Ctor
* @param _size Length of vector (default is 0)
* @param _value Initial value of all elements (default is default value of type GeneType)
*/
moeoIntVector(unsigned int _size = 0, int _value = 0) : moeoVector< MOEOObjectiveVector, int, MOEOFitness, MOEODiversity >(_size, _value)
{}
/**
* Returns the class name as a std::string
*/
virtual std::string className() const
{
return "moeoIntVector";
}
};
#endif /*MOEOINTVECTOR_H_*/

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/*
* <moeoObjectiveVector.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOOBJECTIVEVECTOR_H_
#define MOEOOBJECTIVEVECTOR_H_
#include <vector>
/**
* Abstract class allowing to represent a solution in the objective space (phenotypic representation).
* The template argument ObjectiveVectorTraits defaults to moeoObjectiveVectorTraits,
* but it can be replaced at will by any other class that implements the static functions defined therein.
* Some static funtions to access to the traits characteristics are re-defined in order not to write a lot of typedef's.
*/
template < class ObjectiveVectorTraits, class ObjectiveVectorType >
class moeoObjectiveVector : public std::vector < ObjectiveVectorType >
{
public:
/** The traits of objective vectors */
typedef ObjectiveVectorTraits Traits;
/** The type of an objective value */
typedef ObjectiveVectorType Type;
/**
* Ctor
*/
moeoObjectiveVector(Type _value = Type()) : std::vector < Type > (ObjectiveVectorTraits::nObjectives(), _value)
{}
/**
* Ctor from a vector of Type
* @param _v the std::vector < Type >
*/
moeoObjectiveVector(std::vector < Type > & _v) : std::vector < Type > (_v)
{}
/**
* Parameters setting (for the objective vector of any solution)
* @param _nObjectives the number of objectives
* @param _bObjectives the min/max vector (true = min / false = max)
*/
static void setup(unsigned int _nObjectives, std::vector < bool > & _bObjectives)
{
ObjectiveVectorTraits::setup(_nObjectives, _bObjectives);
}
/**
* Returns the number of objectives
*/
static unsigned int nObjectives()
{
return ObjectiveVectorTraits::nObjectives();
}
/**
* Returns true if the _ith objective have to be minimized
* @param _i the index
*/
static bool minimizing(unsigned int _i)
{
return ObjectiveVectorTraits::minimizing(_i);
}
/**
* Returns true if the _ith objective have to be maximized
* @param _i the index
*/
static bool maximizing(unsigned int _i)
{
return ObjectiveVectorTraits::maximizing(_i);
}
};
#endif /*MOEOOBJECTIVEVECTOR_H_*/

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/*
* <moeoObjectiveVectorTraits.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#include <core/moeoObjectiveVectorTraits.h>
// The static variables of the moeoObjectiveVectorTraits class need to be allocated
unsigned int moeoObjectiveVectorTraits::nObj;
std::vector < bool > moeoObjectiveVectorTraits::bObj;

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/*
* <moeoObjectiveVectorTraits.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOOBJECTIVEVECTORTRAITS_H_
#define MOEOOBJECTIVEVECTORTRAITS_H_
#include <iostream>
#include <stdexcept>
#include <vector>
/**
* A traits class for moeoObjectiveVector to specify the number of objectives and which ones have to be minimized or maximized.
*/
class moeoObjectiveVectorTraits
{
public:
/**
* Parameters setting
* @param _nObjectives the number of objectives
* @param _bObjectives the min/max vector (true = min / false = max)
*/
static void setup(unsigned int _nObjectives, std::vector < bool > & _bObjectives)
{
// in case the number of objectives was already set to a different value
if ( nObj && (nObj != _nObjectives) )
{
std::cout << "WARNING\n";
std::cout << "WARNING : the number of objectives are changing\n";
std::cout << "WARNING : Make sure all existing objects are destroyed\n";
std::cout << "WARNING\n";
}
// number of objectives
nObj = _nObjectives;
// min/max vector
bObj = _bObjectives;
// in case the number of objectives and the min/max vector size don't match
if (nObj != bObj.size())
throw std::runtime_error("Number of objectives and min/max size don't match in moeoObjectiveVectorTraits::setup");
}
/**
* Returns the number of objectives
*/
static unsigned int nObjectives()
{
// in case the number of objectives would not be assigned yet
if (! nObj)
throw std::runtime_error("Number of objectives not assigned in moeoObjectiveVectorTraits");
return nObj;
}
/**
* Returns true if the _ith objective have to be minimized
* @param _i the index
*/
static bool minimizing(unsigned int _i)
{
// in case there would be a wrong index
if (_i >= bObj.size())
throw std::runtime_error("Wrong index in moeoObjectiveVectorTraits");
return bObj[_i];
}
/**
* Returns true if the _ith objective have to be maximized
* @param _i the index
*/
static bool maximizing(unsigned int _i)
{
return (! minimizing(_i));
}
/**
* Returns the tolerance value (to compare solutions)
*/
static double tolerance()
{
return 1e-10;
}
private:
/** The number of objectives */
static unsigned int nObj;
/** The min/max vector */
static std::vector < bool > bObj;
};
#endif /*MOEOOBJECTIVEVECTORTRAITS_H_*/

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/*
* <moeoRealObjectiveVector.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOREALOBJECTIVEVECTOR_H_
#define MOEOREALOBJECTIVEVECTOR_H_
#include <iostream>
#include <math.h>
#include <comparator/moeoObjectiveObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <core/moeoObjectiveVector.h>
/**
* This class allows to represent a solution in the objective space (phenotypic representation) by a std::vector of real values,
* i.e. that an objective value is represented using a double, and this for any objective.
*/
template < class ObjectiveVectorTraits >
class moeoRealObjectiveVector : public moeoObjectiveVector < ObjectiveVectorTraits, double >
{
public:
using moeoObjectiveVector < ObjectiveVectorTraits, double >::size;
using moeoObjectiveVector < ObjectiveVectorTraits, double >::operator[];
/**
* Ctor
*/
moeoRealObjectiveVector(double _value = 0.0) : moeoObjectiveVector < ObjectiveVectorTraits, double > (_value)
{}
/**
* Ctor from a vector of doubles
* @param _v the std::vector < double >
*/
moeoRealObjectiveVector(std::vector < double > & _v) : moeoObjectiveVector < ObjectiveVectorTraits, double > (_v)
{}
/**
* Returns true if the current objective vector dominates _other according to the Pareto dominance relation
* (but it's better to use a moeoObjectiveVectorComparator object to compare solutions)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool dominates(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
moeoParetoObjectiveVectorComparator < moeoRealObjectiveVector<ObjectiveVectorTraits> > comparator;
return comparator(_other, *this);
}
/**
* Returns true if the current objective vector is equal to _other (according to a tolerance value)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool operator==(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
for (unsigned int i=0; i < size(); i++)
{
if ( fabs(operator[](i) - _other[i]) > ObjectiveVectorTraits::tolerance() )
{
return false;
}
}
return true;
}
/**
* Returns true if the current objective vector is different than _other (according to a tolerance value)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool operator!=(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
return ! operator==(_other);
}
/**
* Returns true if the current objective vector is smaller than _other on the first objective, then on the second, and so on
* (can be usefull for sorting/printing)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool operator<(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
moeoObjectiveObjectiveVectorComparator < moeoRealObjectiveVector < ObjectiveVectorTraits > > cmp;
return cmp(*this, _other);
}
/**
* Returns true if the current objective vector is greater than _other on the first objective, then on the second, and so on
* (can be usefull for sorting/printing)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool operator>(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
return _other < *this;
}
/**
* Returns true if the current objective vector is smaller than or equal to _other on the first objective, then on the second, and so on
* (can be usefull for sorting/printing)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool operator<=(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
return operator==(_other) || operator<(_other);
}
/**
* Returns true if the current objective vector is greater than or equal to _other on the first objective, then on the second, and so on
* (can be usefull for sorting/printing)
* @param _other the other moeoRealObjectiveVector object to compare with
*/
bool operator>=(const moeoRealObjectiveVector < ObjectiveVectorTraits > & _other) const
{
return operator==(_other) || operator>(_other);
}
};
/**
* Output for a moeoRealObjectiveVector object
* @param _os output stream
* @param _objectiveVector the objective vector to write
*/
template < class ObjectiveVectorTraits >
std::ostream & operator<<(std::ostream & _os, const moeoRealObjectiveVector < ObjectiveVectorTraits > & _objectiveVector)
{
for (unsigned int i=0; i<_objectiveVector.size()-1; i++)
_os << _objectiveVector[i] << " ";
_os << _objectiveVector[_objectiveVector.size()-1];
return _os;
}
/**
* Input for a moeoRealObjectiveVector object
* @param _is input stream
* @param _objectiveVector the objective vector to read
*/
template < class ObjectiveVectorTraits >
std::istream & operator>>(std::istream & _is, moeoRealObjectiveVector < ObjectiveVectorTraits > & _objectiveVector)
{
_objectiveVector = moeoRealObjectiveVector < ObjectiveVectorTraits > ();
for (unsigned int i=0; i<_objectiveVector.size(); i++)
{
_is >> _objectiveVector[i];
}
return _is;
}
#endif /*MOEOREALOBJECTIVEVECTOR_H_*/

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/*
* <moeoRealVector.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOREALVECTOR_H_
#define MOEOREALVECTOR_H_
#include <core/moeoVector.h>
/**
* This class is an implementation of a simple double-valued moeoVector.
*/
template < class MOEOObjectiveVector, class MOEOFitness=double, class MOEODiversity=double >
class moeoRealVector : public moeoVector < MOEOObjectiveVector, double, MOEOFitness, MOEODiversity >
{
public:
/**
* Ctor
* @param _size Length of vector (default is 0)
* @param _value Initial value of all elements (default is default value of type GeneType)
*/
moeoRealVector(unsigned int _size = 0, double _value = 0.0) : moeoVector< MOEOObjectiveVector, double, MOEOFitness, MOEODiversity >(_size, _value)
{}
/**
* Returns the class name as a std::string
*/
virtual std::string className() const
{
return "moeoRealVector";
}
};
#endif /*MOEOREALVECTOR_H_*/

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/*
* <moeoVector.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOVECTOR_H_
#define MOEOVECTOR_H_
#include <iterator>
#include <vector>
#include <core/MOEO.h>
/**
* Base class for fixed length chromosomes, just derives from MOEO and std::vector and redirects the smaller than operator to MOEO (objective vector based comparison).
* GeneType must have the following methods: void ctor (needed for the std::vector<>), copy ctor.
*/
template < class MOEOObjectiveVector, class GeneType, class MOEOFitness=double, class MOEODiversity=double >
class moeoVector : public MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >, public std::vector < GeneType >
{
public:
using MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity > :: invalidate;
using std::vector < GeneType > :: operator[];
using std::vector < GeneType > :: begin;
using std::vector < GeneType > :: end;
using std::vector < GeneType > :: resize;
using std::vector < GeneType > :: size;
/** the atomic type */
typedef GeneType AtomType;
/** the container type */
typedef std::vector < GeneType > ContainerType;
/**
* Default ctor.
* @param _size Length of vector (default is 0)
* @param _value Initial value of all elements (default is default value of type GeneType)
*/
moeoVector(unsigned int _size = 0, GeneType _value = GeneType()) :
MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >(), std::vector<GeneType>(_size, _value)
{}
/**
* We can't have a Ctor from a std::vector as it would create ambiguity with the copy Ctor.
* @param _v a vector of GeneType
*/
void value(const std::vector < GeneType > & _v)
{
if (_v.size() != size()) // safety check
{
if (size()) // NOT an initial empty std::vector
{
std::cout << "Warning: Changing size in moeoVector assignation"<<std::endl;
resize(_v.size());
}
else
{
throw std::runtime_error("Size not initialized in moeoVector");
}
}
std::copy(_v.begin(), _v.end(), begin());
invalidate();
}
/**
* To avoid conflicts between MOEO::operator< and std::vector<GeneType>::operator<
* @param _moeo the object to compare with
*/
bool operator<(const moeoVector< MOEOObjectiveVector, GeneType, MOEOFitness, MOEODiversity> & _moeo) const
{
return MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >::operator<(_moeo);
}
/**
* Writing object
* @param _os output stream
*/
virtual void printOn(std::ostream & _os) const
{
MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >::printOn(_os);
_os << ' ';
_os << size() << ' ';
std::copy(begin(), end(), std::ostream_iterator<AtomType>(_os, " "));
}
/**
* Reading object
* @param _is input stream
*/
virtual void readFrom(std::istream & _is)
{
MOEO < MOEOObjectiveVector, MOEOFitness, MOEODiversity >::readFrom(_is);
unsigned int sz;
_is >> sz;
resize(sz);
unsigned int i;
for (i = 0; i < sz; ++i)
{
AtomType atom;
_is >> atom;
operator[](i) = atom;
}
}
};
/**
* To avoid conflicts between MOEO::operator< and std::vector<double>::operator<
* @param _moeo1 the first object to compare
* @param _moeo2 the second object to compare
*/
template < class MOEOObjectiveVector, class MOEOFitness, class MOEODiversity, class GeneType >
bool operator<(const moeoVector< MOEOObjectiveVector, GeneType, MOEOFitness, MOEODiversity> & _moeo1, const moeoVector< MOEOObjectiveVector, GeneType, MOEOFitness, MOEODiversity > & _moeo2)
{
return _moeo1.operator<(_moeo2);
}
/**
* To avoid conflicts between MOEO::operator> and std::vector<double>::operator>
* @param _moeo1 the first object to compare
* @param _moeo2 the second object to compare
*/
template < class MOEOObjectiveVector, class MOEOFitness, class MOEODiversity, class GeneType >
bool operator>(const moeoVector< MOEOObjectiveVector, GeneType, MOEOFitness, MOEODiversity> & _moeo1, const moeoVector< MOEOObjectiveVector, GeneType, MOEOFitness, MOEODiversity > & _moeo2)
{
return _moeo1.operator>(_moeo2);
}
#endif /*MOEOVECTOR_H_*/

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/*
* <moeoDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODISTANCE_H_
#define MOEODISTANCE_H_
#include <eoFunctor.h>
/**
* The base class for distance computation.
*/
template < class MOEOT , class Type >
class moeoDistance : public eoBF < const MOEOT &, const MOEOT &, const Type >
{
public:
/**
* Nothing to do
* @param _pop the population
*/
virtual void setup(const eoPop < MOEOT > & _pop)
{}
/**
* Nothing to do
* @param _min lower bound
* @param _max upper bound
* @param _obj the objective index
*/
virtual void setup(double _min, double _max, unsigned int _obj)
{}
/**
* Nothing to do
* @param _realInterval the eoRealInterval object
* @param _obj the objective index
*/
virtual void setup(eoRealInterval _realInterval, unsigned int _obj)
{}
};
#endif /*MOEODISTANCE_H_*/

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/*
* <moeoDistanceMatrix.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODISTANCEMATRIX_H_
#define MOEODISTANCEMATRIX_H_
#include <vector>
#include <eoFunctor.h>
#include <distance/moeoDistance.h>
/**
* A matrix to compute distances between every pair of individuals contained in a population.
*/
template < class MOEOT , class Type >
class moeoDistanceMatrix : public eoUF < const eoPop < MOEOT > &, void > , public std::vector< std::vector < Type > >
{
public:
using std::vector< std::vector < Type > > :: size;
using std::vector< std::vector < Type > > :: operator[];
/**
* Ctor
* @param _size size for every dimension of the matrix
* @param _distance the distance to use
*/
moeoDistanceMatrix (unsigned int _size, moeoDistance < MOEOT , Type > & _distance) : distance(_distance)
{
this->resize(_size);
for (unsigned int i=0; i<_size; i++)
{
this->operator[](i).resize(_size);
}
}
/**
* Sets the distance between every pair of individuals contained in the population _pop
* @param _pop the population
*/
void operator()(const eoPop < MOEOT > & _pop)
{
// 1 - setup the bounds (if necessary)
distance.setup(_pop);
// 2 - compute distances
this->operator[](0).operator[](0) = Type();
for (unsigned int i=0; i<size(); i++)
{
this->operator[](i).operator[](i) = Type();
for (unsigned int j=0; j<i; j++)
{
this->operator[](i).operator[](j) = distance(_pop[i], _pop[j]);
this->operator[](j).operator[](i) = this->operator[](i).operator[](j);
}
}
}
private:
/** the distance to use */
moeoDistance < MOEOT , Type > & distance;
};
#endif /*MOEODISTANCEMATRIX_H_*/

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/*
* <moeoEuclideanDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEUCLIDEANDISTANCE_H_
#define MOEOEUCLIDEANDISTANCE_H_
#include <math.h>
#include <distance/moeoObjSpaceDistance.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/**
* A class allowing to compute an euclidian distance between two solutions in the objective space with normalized objective values (i.e. between 0 and 1).
* A distance value then lies between 0 and sqrt(nObjectives).
*/
template < class MOEOT >
class moeoEuclideanDistance : public moeoObjSpaceDistance < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/** the fitness type of the solutions */
typedef typename MOEOT::Fitness Fitness;
/**
ctr with a normalizer
@param _normalizer the normalizer used for every ObjectiveVector
*/
moeoEuclideanDistance (moeoObjectiveVectorNormalizer<MOEOT> _normalizer):normalizer(_normalizer)
{}
/**
default ctr
*/
moeoEuclideanDistance ():normalizer(defaultNormalizer)
{}
/**
* Returns the euclidian distance between _obj1 and _obj2 in the objective space
* @param _obj1 the first objective vector
* @param _obj2 the second objective vector
*/
const Fitness operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2)
{
Fitness result = 0.0;
Fitness tmp1, tmp2;
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
tmp1 = normalizer(_obj1)[i];
tmp2 = normalizer(_obj2)[i];
result += (tmp1-tmp2) * (tmp1-tmp2);
}
return sqrt(result);
}
private:
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
};
#endif /*MOEOEUCLIDEANDISTANCE_H_*/

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/*
* <moeoManhattanDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Francçois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOMANHATTANDISTANCE_H_
#define MOEOMANHATTANDISTANCE_H_
#include <math.h>
#include <distance/moeoObjSpaceDistance.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/**
* A class allowing to compute the Manhattan distance between two solutions in the objective space normalized objective values (i.e. between 0 and 1).
* A distance value then lies between 0 and nObjectives.
*/
template < class MOEOT >
class moeoManhattanDistance : public moeoObjSpaceDistance < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/** the fitness type of the solutions */
typedef typename MOEOT::Fitness Fitness;
/**
ctr with a normalizer
@param _normalizer the normalizer used for every ObjectiveVector
*/
moeoManhattanDistance (moeoObjectiveVectorNormalizer<MOEOT> &_normalizer):normalizer(_normalizer)
{}
/**
default ctr
*/
moeoManhattanDistance ():normalizer(defaultNormalizer)
{}
/**
* Returns the Manhattan distance between _obj1 and _obj2 in the objective space
* @param _obj1 the first objective vector
* @param _obj2 the second objective vector
*/
const double operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2)
{
double result = 0.0;
double tmp1, tmp2;
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
tmp1 = normalizer(_obj1)[i];
tmp2 = normalizer(_obj2)[i];
result += fabs(tmp1-tmp2);
}
return result;
}
private:
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
};
#endif /*MOEOMANHATTANDISTANCE_H_*/

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/*
* <moeoNormalizedDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEONORMALIZEDDISTANCE_H_
#define MOEONORMALIZEDDISTANCE_H_
#include <vector>
#include <utils/eoRealBounds.h>
#include <distance/moeoDistance.h>
/**
* The base class for double distance computation with normalized objective values (i.e. between 0 and 1).
*/
template < class MOEOT , class Type = double >
class moeoNormalizedDistance : public moeoDistance < MOEOT , Type >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctr
*/
moeoNormalizedDistance()
{
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound)
*/
static double tiny()
{
return 1e-6;
}
/**
* Sets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop
* @param _pop the population
*/
virtual void setup(const eoPop < MOEOT > & _pop)
{
double min, max;
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
min = _pop[0].objectiveVector()[i];
max = _pop[0].objectiveVector()[i];
for (unsigned int j=1; j<_pop.size(); j++)
{
min = std::min(min, _pop[j].objectiveVector()[i]);
max = std::max(max, _pop[j].objectiveVector()[i]);
}
// setting of the bounds for the objective i
setup(min, max, i);
}
}
/**
* Sets the lower bound (_min) and the upper bound (_max) for the objective _obj
* @param _min lower bound
* @param _max upper bound
* @param _obj the objective index
*/
virtual void setup(double _min, double _max, unsigned int _obj)
{
if (_min == _max)
{
_min -= tiny();
_max += tiny();
}
bounds[_obj] = eoRealInterval(_min, _max);
}
/**
* Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object
* @param _realInterval the eoRealInterval object
* @param _obj the objective index
*/
virtual void setup(eoRealInterval _realInterval, unsigned int _obj)
{
bounds[_obj] = _realInterval;
}
protected:
/** the bounds for every objective (bounds[i] = bounds for the objective i) */
std::vector < eoRealInterval > bounds;
};
#endif /*MOEONORMALIZEDDISTANCE_H_*/

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/*
* <moeoObjSpaceDistance.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOOBJDIST_H_
#define MOEOOBJDIST_H_
#include <eo>
#include <moeo>
#include <cmath>
/**
Distances using Objective vectors to evaluate
*/
template < class MOEOT>
class moeoObjSpaceDistance : public moeoDistance < MOEOT, typename MOEOT::Fitness >, public eoBF<const typename MOEOT::ObjectiveVector&,const typename MOEOT::ObjectiveVector&,const typename MOEOT::Fitness>
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
virtual const Fitness operator()(const MOEOT &_moeot1,const MOEOT &_moeot2){
return operator()(_moeot1.objectiveVector(),_moeot2.objectiveVector());
}
virtual const Fitness operator()(const ObjectiveVector &_obj1, const ObjectiveVector &_obj2)=0;
};
#endif

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/*
* <moeoCrowdingDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCROWDINGDIVERSITYASSIGNMENT_H_
#define MOEOCROWDINGDIVERSITYASSIGNMENT_H_
#include <eoPop.h>
#include <comparator/moeoOneObjectiveComparator.h>
#include <diversity/moeoDiversityAssignment.h>
/**
* Diversity assignment sheme based on crowding proposed in:
* K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, "A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, no. 2 (2002).
*/
template < class MOEOT >
class moeoCrowdingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Returns a big value (regarded as infinite)
*/
double inf() const
{
return std::numeric_limits<double>::max();
}
/**
* Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound)
*/
double tiny() const
{
return 1e-6;
}
/**
* Computes diversity values for every solution contained in the population _pop
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
if (_pop.size() <= 2)
{
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].diversity(inf());
}
}
else
{
setDistances(_pop);
}
}
/**
* @warning NOT IMPLEMENTED, DO NOTHING !
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
* @warning NOT IMPLEMENTED, DO NOTHING !
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoCrowdingDiversityAssignment" << std::endl;
}
protected:
/**
* Sets the distance values
* @param _pop the population
*/
virtual void setDistances (eoPop < MOEOT > & _pop)
{
double min, max, distance;
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
// set diversity to 0
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].diversity(0.0);
}
// for each objective
for (unsigned int obj=0; obj<nObjectives; obj++)
{
// comparator
moeoOneObjectiveComparator < MOEOT > objComp(obj);
// sort
std::sort(_pop.begin(), _pop.end(), objComp);
// min & max
min = _pop[0].objectiveVector()[obj];
max = _pop[_pop.size()-1].objectiveVector()[obj];
// set the diversity value to infiny for min and max
_pop[0].diversity(inf());
_pop[_pop.size()-1].diversity(inf());
for (unsigned int i=1; i<_pop.size()-1; i++)
{
distance = (_pop[i+1].objectiveVector()[obj] - _pop[i-1].objectiveVector()[obj]) / (max-min);
_pop[i].diversity(_pop[i].diversity() + distance);
}
}
}
};
#endif /*MOEOCROWDINGDIVERSITYASSIGNMENT_H_*/

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/*
* <moeoDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODIVERSITYASSIGNMENT_H_
#define MOEODIVERSITYASSIGNMENT_H_
#include <eoFunctor.h>
#include <eoPop.h>
/**
* Functor that sets the diversity values of a whole population.
*/
template < class MOEOT >
class moeoDiversityAssignment : public eoUF < eoPop < MOEOT > &, void >
{
public:
/** The type for objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
virtual void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec) = 0;
/**
* Updates the diversity values of the whole population _pop by taking the deletion of the individual _moeo into account.
* @param _pop the population
* @param _moeo the individual
*/
void updateByDeleting(eoPop < MOEOT > & _pop, MOEOT & _moeo)
{
updateByDeleting(_pop, _moeo.objectiveVector());
}
};
#endif /*MOEODIVERSITYASSIGNMENT_H_*/

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/*
* <moeoDummyDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODUMMYDIVERSITYASSIGNMENT_H_
#define MOEODUMMYDIVERSITYASSIGNMENT_H_
#include<diversity/moeoDiversityAssignment.h>
/**
* moeoDummyDiversityAssignment is a moeoDiversityAssignment that gives the value '0' as the individual's diversity for a whole population if it is invalid.
*/
template < class MOEOT >
class moeoDummyDiversityAssignment : public moeoDiversityAssignment < MOEOT >
{
public:
/** The type for objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Sets the diversity to '0' for every individuals of the population _pop if it is invalid
* @param _pop the population
*/
void operator () (eoPop < MOEOT > & _pop)
{
for (unsigned int idx = 0; idx<_pop.size (); idx++)
{
if (_pop[idx].invalidDiversity())
{
// set the diversity to 0
_pop[idx].diversity(0.0);
}
}
}
/**
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
// nothing to do... ;-)
}
};
#endif /*MOEODUMMYDIVERSITYASSIGNMENT_H_*/

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/*
* <moeoFrontByFrontCrowdingDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2009
* (C) OPAC Team, LIFL, 2002-2009
*
* Arnaud Liefooghe, Waldo Cancino
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT2_H_
#define MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT2_H_
#include <diversity/moeoCrowdingDiversityAssignment.h>
#include <comparator/moeoFitnessThenDiversityComparator.h>
#include <comparator/moeoPtrComparator.h>
/**
* Diversity assignment sheme based on crowding proposed in:
* K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, "A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, no. 2 (2002).
* Tis strategy assigns diversity values FRONT BY FRONT. It is, for instance, used in NSGA-II.
*/
template < class MOEOT >
class moeoFrontByFrontCrowdingDiversityAssignment : public moeoCrowdingDiversityAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* @warning NOT IMPLEMENTED, DO NOTHING !
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
* @warning NOT IMPLEMENTED, DO NOTHING !
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoFrontByFrontCrowdingDistanceDiversityAssignment" << std::endl;
}
private:
using moeoCrowdingDiversityAssignment < MOEOT >::inf;
using moeoCrowdingDiversityAssignment < MOEOT >::tiny;
/**
* Sets the distance values
* @param _pop the population
*/
void setDistances (eoPop <MOEOT> & _pop)
{
unsigned int a,b;
double min, max, distance;
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
// set diversity to 0 for every individual
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].diversity(0.0);
}
// sort the whole pop according to fitness values
moeoFitnessThenDiversityComparator < MOEOT > fitnessComparator;
std::vector<MOEOT *> sortedptrpop;
sortedptrpop.resize(_pop.size());
// due to intensive sort operations for this diversity assignment,
// it is more efficient to perform sorts using only pointers to the
// population members in order to avoid copy of individuals
for(unsigned int i=0; i< _pop.size(); i++) sortedptrpop[i] = & (_pop[i]);
//sort the pointers to population members
moeoPtrComparator<MOEOT> cmp2( fitnessComparator);
std::sort(sortedptrpop.begin(), sortedptrpop.end(), cmp2);
// compute the crowding distance values for every individual "front" by "front" (front : from a to b)
a = 0; // the front starts at a
while (a < _pop.size())
{
b = lastIndex(sortedptrpop,a); // the front ends at b
//b = lastIndex(_pop,a); // the front ends at b
// if there is less than 2 individuals in the front...
if ((b-a) < 2)
{
for (unsigned int i=a; i<=b; i++)
{
sortedptrpop[i]->diversity(inf());
//_pop[i].diversity(inf());
}
}
// else...
else
{
// for each objective
for (unsigned int obj=0; obj<nObjectives; obj++)
{
// sort in the descending order using the values of the objective 'obj'
moeoOneObjectiveComparator < MOEOT > objComp(obj);
moeoPtrComparator<MOEOT> cmp2( objComp );
std::sort(sortedptrpop.begin(), sortedptrpop.end(), cmp2);
// min & max
min = (sortedptrpop[b])->objectiveVector()[obj];
max = (sortedptrpop[a])->objectiveVector()[obj];
// avoid extreme case
if (min == max)
{
min -= tiny();
max += tiny();
}
// set the diversity value to infiny for min and max
sortedptrpop[a]->diversity(inf());
sortedptrpop[b]->diversity(inf());
// set the diversity values for the other individuals
for (unsigned int i=a+1; i<b; i++)
{
distance = ( sortedptrpop[i-1]->objectiveVector()[obj] - sortedptrpop[i+1]->objectiveVector()[obj] ) / (max-min);
sortedptrpop[i]->diversity(sortedptrpop[i]->diversity() + distance);
}
}
}
// go to the next front
a = b+1;
}
}
/**
* Returns the index of the last individual having the same fitness value than _pop[_start]
* @param _pop the vector of pointers to population individuals
* @param _start the index to start from
*/
unsigned int lastIndex (std::vector<MOEOT *> & _pop, unsigned int _start)
{
unsigned int i=_start;
while ( (i<_pop.size()-1) && (_pop[i]->fitness()==_pop[i+1]->fitness()) )
{
i++;
}
return i;
}
};
#endif /*MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT_H_*/

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/*
* <moeoFrontByFrontSharingDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOFRONTBYFRONTSHARINGDIVERSITYASSIGNMENT_H_
#define MOEOFRONTBYFRONTSHARINGDIVERSITYASSIGNMENT_H_
#include <diversity/moeoSharingDiversityAssignment.h>
/**
* Sharing assignment scheme on the way it is used in NSGA.
*/
template < class MOEOT >
class moeoFrontByFrontSharingDiversityAssignment : public moeoSharingDiversityAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _distance the distance used to compute the neighborhood of solutions (can be related to the decision space or the objective space)
* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
* @param _alpha parameter used to regulate the shape of the sharing function
*/
moeoFrontByFrontSharingDiversityAssignment(moeoDistance<MOEOT,double> & _distance, double _nicheSize = 0.5, double _alpha = 2.0) : moeoSharingDiversityAssignment < MOEOT >(_distance, _nicheSize, _alpha)
{}
/**
* Ctor with an euclidean distance (with normalized objective values) in the objective space is used as default
* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
* @param _alpha parameter used to regulate the shape of the sharing function
*/
moeoFrontByFrontSharingDiversityAssignment(double _nicheSize = 0.5, double _alpha = 2.0) : moeoSharingDiversityAssignment < MOEOT >(_nicheSize, _alpha)
{}
/**
* @warning NOT IMPLEMENTED, DO NOTHING !
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
* @warning NOT IMPLEMENTED, DO NOTHING !
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
}
private:
using moeoSharingDiversityAssignment < MOEOT >::distance;
using moeoSharingDiversityAssignment < MOEOT >::nicheSize;
using moeoSharingDiversityAssignment < MOEOT >::sh;
/**
* Sets similarities FRONT BY FRONT for every solution contained in the population _pop
* @param _pop the population
*/
void setSimilarities(eoPop < MOEOT > & _pop)
{
// compute distances between every individuals
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
dMatrix(_pop);
// sets the distance to bigger than the niche size for every couple of solutions that do not belong to the same front
for (unsigned int i=0; i<_pop.size(); i++)
{
for (unsigned int j=0; j<i; j++)
{
if (_pop[i].fitness() != _pop[j].fitness())
{
dMatrix[i][j] = nicheSize;
dMatrix[j][i] = nicheSize;
}
}
}
// compute similarities
double sum;
for (unsigned int i=0; i<_pop.size(); i++)
{
sum = 0.0;
for (unsigned int j=0; j<_pop.size(); j++)
{
sum += sh(dMatrix[i][j]);
}
_pop[i].diversity(sum);
}
}
};
#endif /*MOEOFRONTBYFRONTSHARINGDIVERSITYASSIGNMENT_H_*/

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/*
* <moeoNearestNeighborDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoNearestNeighborDiversityAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEONEARESTNEIGHBORDIVERSITYASSIGNMENT_H_
#define MOEONEARESTNEIGHBORDIVERSITYASSIGNMENT_H_
#include <list>
#include <diversity/moeoDiversityAssignment.h>
#include <archive/moeoUnboundedArchive.h>
#include <archive/moeoArchive.h>
/**
* moeoNearestNeighborDiversityAssignment is a moeoDiversityAssignment using distance between individuals to assign diversity.
*/
template < class MOEOT >
class moeoNearestNeighborDiversityAssignment : public moeoDiversityAssignment < MOEOT >
{
public:
/** The type for objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
* @param _index index for find the k-ieme nearest neighbor, _index correspond to k
*/
moeoNearestNeighborDiversityAssignment(unsigned int _index=1):distance(defaultDistance), archive(defaultArchive), index(_index)
{}
/**
* Ctor where you can choose your own archive
* @param _archive the archive used
* @param _index index for find the k-ieme nearest neighbor, _index correspond to k
*/
moeoNearestNeighborDiversityAssignment(moeoArchive <MOEOT>& _archive, unsigned int _index=1) : distance(defaultDistance), archive(_archive), index(_index)
{}
/**
* Ctor where you can choose your own distance
* @param _dist the distance used
* @param _index index for find the k-ieme nearest neighbor, _index correspond to k
*/
moeoNearestNeighborDiversityAssignment(moeoDistance <MOEOT, double>& _dist, unsigned int _index=1) : distance(_dist), archive(defaultArchive), index(_index)
{}
/**
* Ctor where you can choose your own distance and archive
* @param _dist the distance used
* @param _archive the archive used
* @param _index index for find the k-ieme nearest neighbor, _index correspond to k
*/
moeoNearestNeighborDiversityAssignment(moeoDistance <MOEOT, double>& _dist, moeoArchive <MOEOT>& _archive, unsigned int _index=1) : distance(_dist), archive(_archive), index(_index)
{}
/**
* Affect the diversity to the pop, diversity corresponding to the k-ieme nearest neighbor.
* @param _pop the population
*/
void operator () (eoPop < MOEOT > & _pop)
{
unsigned int i = _pop.size();
unsigned int j = archive.size();
double tmp=0;
std::vector< std::list<double> > matrice(i+j);
if (i+j>0)
{
for (unsigned k=0; k<i+j-1; k++)
{
for (unsigned l=k+1; l<i+j; l++)
{
if ( (k<i) && (l<i) )
tmp=distance(_pop[k], _pop[l]);
else if ( (k<i) && (l>=i) )
tmp=distance(_pop[k], archive[l-i]);
else
tmp=distance(archive[k-i], archive[l-i]);
matrice[k].push_back(tmp);
matrice[l].push_back(tmp);
}
}
}
for (unsigned int k=0; k<i+j; k++)
matrice[k].sort();
for (unsigned int k=0; k<i; k++)
_pop[k].diversity(-1 * 1/(2+getElement(matrice[k])));
for (unsigned int k=i; k<i+j; k++)
archive[k-i].diversity(-1 * 1/(2+getElement(matrice[k])));
}
/**
* @warning NOT IMPLEMENTED, DOES NOTHING !
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
* @warning NOT IMPLEMENTED, DOES NOTHING !
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoNearestNeighborDiversityAssignment" << std::endl;
}
private:
/** Distance */
moeoDistance <MOEOT, double> & distance;
/** Default distance */
moeoEuclideanDistance < MOEOT > defaultDistance;
/** Archive */
moeoArchive < MOEOT > & archive;
/** Default archive */
moeoUnboundedArchive < MOEOT > defaultArchive;
/** the index corresponding to k for search the k-ieme nearest neighbor */
unsigned int index;
/**
* Return the index-th element of the list _myList
* @param _myList the list which contains distances
*/
double getElement(std::list<double> _myList)
{
std::list<double>::iterator it= _myList.begin();
for (unsigned int i=1; i< std::min((unsigned int)_myList.size(),index); i++)
it++;
return *it;
}
};
#endif /*MOEONEARESTNEIGHBORDIVERSITYASSIGNEMENT_H_*/

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/*
* <moeoSharingDiversityAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOSHARINGDIVERSITYASSIGNMENT_H_
#define MOEOSHARINGDIVERSITYASSIGNMENT_H_
#include <eoPop.h>
#include <comparator/moeoDiversityThenFitnessComparator.h>
#include <distance/moeoDistance.h>
#include <distance/moeoDistanceMatrix.h>
#include <distance/moeoEuclideanDistance.h>
#include <diversity/moeoDiversityAssignment.h>
/**
* Sharing assignment scheme originally porposed by:
* D. E. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addision-Wesley, MA, USA (1989).
*/
template < class MOEOT >
class moeoSharingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _distance the distance used to compute the neighborhood of solutions (can be related to the decision space or the objective space)
* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
* @param _alpha parameter used to regulate the shape of the sharing function
*/
moeoSharingDiversityAssignment(moeoDistance<MOEOT,double> & _distance, double _nicheSize = 0.5, double _alpha = 1.0) : distance(_distance), nicheSize(_nicheSize), alpha(_alpha)
{}
/**
* Ctor with an euclidean distance (with normalized objective values) in the objective space is used as default
* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
* @param _alpha parameter used to regulate the shape of the sharing function
*/
moeoSharingDiversityAssignment(double _nicheSize = 0.5, double _alpha = 1.0) : distance(defaultDistance), nicheSize(_nicheSize), alpha(_alpha)
{}
/**
* Sets diversity values for every solution contained in the population _pop
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
// 1 - set simuilarities
setSimilarities(_pop);
// 2 - a higher diversity is better, so the values need to be inverted
moeoDiversityThenFitnessComparator < MOEOT > divComparator;
double max = std::max_element(_pop.begin(), _pop.end(), divComparator)->diversity();
for (unsigned int i=0 ; i<_pop.size() ; i++)
{
_pop[i].diversity(max - _pop[i].diversity());
}
}
/**
* @warning NOT IMPLEMENTED, DO NOTHING !
* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
* @warning NOT IMPLEMENTED, DO NOTHING !
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
}
protected:
/** the distance used to compute the neighborhood of solutions */
moeoDistance < MOEOT , double > & distance;
/** euclidean distancein the objective space (can be used as default) */
moeoEuclideanDistance < MOEOT > defaultDistance;
/** neighborhood size in terms of radius distance */
double nicheSize;
/** parameter used to regulate the shape of the sharing function */
double alpha;
/**
* Sets similarities for every solution contained in the population _pop
* @param _pop the population
*/
virtual void setSimilarities(eoPop < MOEOT > & _pop)
{
// compute distances between every individuals
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
dMatrix(_pop);
// compute similarities
double sum;
for (unsigned int i=0; i<_pop.size(); i++)
{
sum = 0.0;
for (unsigned int j=0; j<_pop.size(); j++)
{
sum += sh(dMatrix[i][j]);
}
_pop[i].diversity(sum);
}
}
/**
* Sharing function
* @param _dist the distance value
*/
double sh(double _dist)
{
double result;
if (_dist < nicheSize)
{
result = 1.0 - pow(_dist / nicheSize, alpha);
}
else
{
result = 0.0;
}
return result;
}
};
#endif /*MOEOSHARINGDIVERSITYASSIGNMENT_H_*/

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/*
* <make_checkpoint_moeo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MAKE_CHECKPOINT_MOEO_H_
#define MAKE_CHECKPOINT_MOEO_H_
#include <limits.h>
#include <stdlib.h>
#include <sstream>
#include <eoContinue.h>
#include <eoEvalFuncCounter.h>
#include <utils/checkpointing>
#include <utils/selectors.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
#include <metric/moeoContributionMetric.h>
#include <metric/moeoEntropyMetric.h>
#include <utils/moeoArchiveUpdater.h>
#include <utils/moeoArchiveObjectiveVectorSavingUpdater.h>
#include <utils/moeoBinaryMetricSavingUpdater.h>
bool testDirRes(std::string _dirName, bool _erase);
/**
* This functions allows to build an eoCheckPoint for multi-objective optimization from the parser (partly taken from make_checkpoint_pareto.h)
* @param _parser the parser
* @param _state to store allocated objects
* @param _eval the funtions evaluator
* @param _continue the stopping crietria
* @param _pop the population
* @param _archive the archive of non-dominated solutions
*/
template < class MOEOT >
eoCheckPoint < MOEOT > & do_make_checkpoint_moeo (eoParser & _parser, eoState & _state, eoEvalFuncCounter < MOEOT > & _eval, eoContinue < MOEOT > & _continue, eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _archive)
{
eoCheckPoint < MOEOT > & checkpoint = _state.storeFunctor(new eoCheckPoint < MOEOT > (_continue));
/* the objective vector type */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
///////////////////
// Counters
//////////////////
// is nb Eval to be used as counter?
//bool useEval = _parser.getORcreateParam(true, "useEval", "Use nb of eval. as counter (vs nb of gen.)", '\0', "Output").value();
// Create anyway a generation-counter parameter
eoValueParam<unsigned int> *generationCounter = new eoValueParam<unsigned int>(0, "Gen.");
// Create an incrementor (sub-class of eoUpdater).
eoIncrementor<unsigned int> & increment = _state.storeFunctor( new eoIncrementor<unsigned int>(generationCounter->value()) );
// Add it to the checkpoint
checkpoint.add(increment);
// dir for DISK output
std::string & dirName = _parser.getORcreateParam(std::string("Res"), "resDir", "Directory to store DISK outputs", '\0', "Output").value();
// shoudl we empty it if exists
eoValueParam<bool>& eraseParam = _parser.getORcreateParam(true, "eraseDir", "erase files in dirName if any", '\0', "Output");
bool dirOK = false; // not tested yet
// Dump of the whole population
//-----------------------------
bool printPop = _parser.getORcreateParam(false, "printPop", "Print sorted pop. every gen.", '\0', "Output").value();
eoSortedPopStat<MOEOT> * popStat;
if ( printPop ) // we do want pop dump
{
popStat = & _state.storeFunctor(new eoSortedPopStat<MOEOT>);
checkpoint.add(*popStat);
}
//////////////////////////////////
// State savers
//////////////////////////////
// feed the state to state savers
// save state every N generation
eoValueParam<unsigned int>& saveFrequencyParam = _parser.createParam((unsigned int)(0), "saveFrequency", "Save every F generation (0 = only final state, absent = never)", '\0', "Persistence" );
if (_parser.isItThere(saveFrequencyParam))
{
// first make sure dirName is OK
if (! dirOK )
dirOK = testDirRes(dirName, eraseParam.value()); // TRUE
unsigned int freq = (saveFrequencyParam.value()>0 ? saveFrequencyParam.value() : UINT_MAX );
#ifdef _MSVC
std::string stmp = dirName + "\generations";
#else
std::string stmp = dirName + "/generations";
#endif
eoCountedStateSaver *stateSaver1 = new eoCountedStateSaver(freq, _state, stmp);
_state.storeFunctor(stateSaver1);
checkpoint.add(*stateSaver1);
}
// save state every T seconds
eoValueParam<unsigned int>& saveTimeIntervalParam = _parser.getORcreateParam((unsigned int)(0), "saveTimeInterval", "Save every T seconds (0 or absent = never)", '\0',"Persistence" );
if (_parser.isItThere(saveTimeIntervalParam) && saveTimeIntervalParam.value()>0)
{
// first make sure dirName is OK
if (! dirOK )
dirOK = testDirRes(dirName, eraseParam.value()); // TRUE
#ifdef _MSVC
std::string stmp = dirName + "\time";
#else
std::string stmp = dirName + "/time";
#endif
eoTimedStateSaver *stateSaver2 = new eoTimedStateSaver(saveTimeIntervalParam.value(), _state, stmp);
_state.storeFunctor(stateSaver2);
checkpoint.add(*stateSaver2);
}
///////////////////
// Archive
//////////////////
// update the archive every generation
bool updateArch = _parser.getORcreateParam(true, "updateArch", "Update the archive at each gen.", '\0', "Evolution Engine").value();
if (updateArch)
{
moeoArchiveUpdater < MOEOT > * updater = new moeoArchiveUpdater < MOEOT > (_archive, _pop);
_state.storeFunctor(updater);
checkpoint.add(*updater);
}
// store the objective vectors contained in the archive every generation
bool storeArch = _parser.getORcreateParam(false, "storeArch", "Store the archive's objective vectors at each gen.", '\0', "Output").value();
if (storeArch)
{
if (! dirOK )
dirOK = testDirRes(dirName, eraseParam.value()); // TRUE
#ifdef _MSVC
std::string stmp = dirName + "\arch";
#else
std::string stmp = dirName + "/arch";
#endif
moeoArchiveObjectiveVectorSavingUpdater < MOEOT > * save_updater = new moeoArchiveObjectiveVectorSavingUpdater < MOEOT > (_archive, stmp);
_state.storeFunctor(save_updater);
checkpoint.add(*save_updater);
}
// store the contribution of the non-dominated solutions
bool cont = _parser.getORcreateParam(false, "contribution", "Store the contribution of the archive at each gen.", '\0', "Output").value();
if (cont)
{
if (! dirOK )
dirOK = testDirRes(dirName, eraseParam.value()); // TRUE
#ifdef _MSVC
std::string stmp = dirName + "\contribution";
#else
std::string stmp = dirName + "/contribution";
#endif
moeoContributionMetric < ObjectiveVector > * contribution = new moeoContributionMetric < ObjectiveVector >;
moeoBinaryMetricSavingUpdater < MOEOT > * contribution_updater = new moeoBinaryMetricSavingUpdater < MOEOT > (*contribution, _archive, stmp);
_state.storeFunctor(contribution_updater);
checkpoint.add(*contribution_updater);
}
// store the entropy of the non-dominated solutions
bool ent = _parser.getORcreateParam(false, "entropy", "Store the entropy of the archive at each gen.", '\0', "Output").value();
if (ent)
{
if (! dirOK )
dirOK = testDirRes(dirName, eraseParam.value()); // TRUE
#ifdef _MSVC
std::string stmp = dirName + "\entropy";
#else
std::string stmp = dirName + "/entropy";
#endif
moeoEntropyMetric < ObjectiveVector > * entropy = new moeoEntropyMetric < ObjectiveVector >;
moeoBinaryMetricSavingUpdater < MOEOT > * entropy_updater = new moeoBinaryMetricSavingUpdater < MOEOT > (*entropy, _archive, stmp);
_state.storeFunctor(entropy_updater);
checkpoint.add(*entropy_updater);
}
// and that's it for the (control and) output
return checkpoint;
}
#endif /*MAKE_CHECKPOINT_MOEO_H_*/

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/*
* <make_continue_moeo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MAKE_CONTINUE_MOEO_H_
#define MAKE_CONTINUE_MOEO_H_
#include <eoCombinedContinue.h>
#include <eoGenContinue.h>
#include <eoEvalContinue.h>
#include <eoFitContinue.h>
#include <eoTimeContinue.h>
#ifndef _MSC_VER
#include <eoCtrlCContinue.h>
#endif
#include <utils/eoParser.h>
#include <utils/eoState.h>
/**
* Helper function
* @param _combined the eoCombinedContinue object
* @param _cont the eoContinue to add
*/
template <class MOEOT>
eoCombinedContinue<MOEOT> * make_combinedContinue(eoCombinedContinue<MOEOT> *_combined, eoContinue<MOEOT> *_cont)
{
if (_combined) // already exists
_combined->add(*_cont);
else
_combined = new eoCombinedContinue<MOEOT>(*_cont);
return _combined;
}
/**
* This functions allows to build a eoContinue for multi-objective optimization from the parser (partly taken from make_continue_pareto.h)
* @param _parser the parser
* @param _state to store allocated objects
* @param _eval the funtions evaluator
*/
template <class MOEOT>
eoContinue<MOEOT> & do_make_continue_moeo(eoParser& _parser, eoState& _state, eoEvalFuncCounter<MOEOT> & _eval)
{
// the combined continue - to be filled
eoCombinedContinue<MOEOT> *continuator = NULL;
// First the eoGenContinue - need a default value so you can run blind
// but we also need to be able to avoid it <--> 0
eoValueParam<unsigned int>& maxGenParam = _parser.createParam((unsigned int)(100), "maxGen", "Maximum number of generations (0 = none)",'G',"Stopping criterion");
if (maxGenParam.value()) // positive: -> define and store
{
eoGenContinue<MOEOT> *genCont = new eoGenContinue<MOEOT>(maxGenParam.value());
_state.storeFunctor(genCont);
// and "add" to combined
continuator = make_combinedContinue<MOEOT>(continuator, genCont);
}
// maxEval
eoValueParam<unsigned long>& maxEvalParam = _parser.getORcreateParam((unsigned long)(0), "maxEval", "Maximum number of evaluations (0 = none)", 'E', "Stopping criterion");
if (maxEvalParam.value())
{
eoEvalContinue<MOEOT> *evalCont = new eoEvalContinue<MOEOT>(_eval, maxEvalParam.value());
_state.storeFunctor(evalCont);
// and "add" to combined
continuator = make_combinedContinue<MOEOT>(continuator, evalCont);
}
// maxTime
eoValueParam<unsigned long>& maxTimeParam = _parser.getORcreateParam((unsigned long)(0), "maxTime", "Maximum running time in seconds (0 = none)", 'T', "Stopping criterion");
if (maxTimeParam.value()) // positive: -> define and store
{
eoTimeContinue<MOEOT> *timeCont = new eoTimeContinue<MOEOT>(maxTimeParam.value());
_state.storeFunctor(timeCont);
// and "add" to combined
continuator = make_combinedContinue<MOEOT>(continuator, timeCont);
}
// CtrlC
#ifndef _MSC_VER
// the CtrlC interception (Linux only I'm afraid)
eoCtrlCContinue<MOEOT> *ctrlCCont;
eoValueParam<bool>& ctrlCParam = _parser.createParam(true, "CtrlC", "Terminate current generation upon Ctrl C",'C', "Stopping criterion");
if (ctrlCParam.value())
{
ctrlCCont = new eoCtrlCContinue<MOEOT>;
// store
_state.storeFunctor(ctrlCCont);
// add to combinedContinue
continuator = make_combinedContinue<MOEOT>(continuator, ctrlCCont);
}
#endif
// now check that there is at least one!
if (!continuator)
throw std::runtime_error("You MUST provide a stopping criterion");
// OK, it's there: store in the eoState
_state.storeFunctor(continuator);
// and return
return *continuator;
}
#endif /*MAKE_CONTINUE_MOEO_H_*/

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/*
* <make_ea_moeo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MAKE_EA_MOEO_H_
#define MAKE_EA_MOEO_H_
#include <stdlib.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
#include <algo/moeoEA.h>
#include <algo/moeoEasyEA.h>
#include <archive/moeoArchive.h>
#include <comparator/moeoAggregativeComparator.h>
#include <comparator/moeoComparator.h>
#include <comparator/moeoDiversityThenFitnessComparator.h>
#include <comparator/moeoFitnessThenDiversityComparator.h>
#include <diversity/moeoDiversityAssignment.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <diversity/moeoFrontByFrontCrowdingDiversityAssignment.h>
#include <diversity/moeoFrontByFrontSharingDiversityAssignment.h>
#include <fitness/moeoDummyFitnessAssignment.h>
#include <fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h>
#include <fitness/moeoDominanceDepthFitnessAssignment.h>
#include <fitness/moeoFitnessAssignment.h>
#include <metric/moeoAdditiveEpsilonBinaryMetric.h>
#include <metric/moeoHypervolumeBinaryMetric.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <replacement/moeoElitistReplacement.h>
#include <replacement/moeoEnvironmentalReplacement.h>
#include <replacement/moeoGenerationalReplacement.h>
#include <replacement/moeoReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
#include <selection/moeoRandomSelect.h>
#include <selection/moeoStochTournamentSelect.h>
#include <selection/moeoSelectOne.h>
#include <selection/moeoSelectors.h>
/**
* This functions allows to build a moeoEA from the parser
* @param _parser the parser
* @param _state to store allocated objects
* @param _eval the funtions evaluator
* @param _continue the stopping crietria
* @param _op the variation operators
* @param _archive the archive of non-dominated solutions
*/
template < class MOEOT >
moeoEA < MOEOT > & do_make_ea_moeo(eoParser & _parser, eoState & _state, eoEvalFunc < MOEOT > & _eval, eoContinue < MOEOT > & _continue, eoGenOp < MOEOT > & _op, moeoArchive < MOEOT > & _archive)
{
/* the objective vector type */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/* the fitness assignment strategy */
std::string & fitnessParam = _parser.createParam(std::string("DomDepth"), "fitness",
"Fitness assignment scheme: Dummy, DomDepth or IndicatorBased", 'F',
"Evolution Engine").value();
std::string & indicatorParam = _parser.createParam(std::string("Epsilon"), "indicator",
"Binary indicator for IndicatorBased: Epsilon, Hypervolume", 'i',
"Evolution Engine").value();
double rho = _parser.createParam(1.1, "rho", "reference point for the hypervolume indicator", '\0',
"Evolution Engine").value();
double kappa = _parser.createParam(0.05, "kappa", "Scaling factor kappa for IndicatorBased", 'k',
"Evolution Engine").value();
moeoFitnessAssignment < MOEOT > * fitnessAssignment;
if (fitnessParam == std::string("Dummy"))
{
fitnessAssignment = new moeoDummyFitnessAssignment < MOEOT> ();
}
else if (fitnessParam == std::string("DomDepth"))
{
fitnessAssignment = new moeoDominanceDepthFitnessAssignment < MOEOT> ();
}
else if (fitnessParam == std::string("IndicatorBased"))
{
// metric
moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > *metric;
if (indicatorParam == std::string("Epsilon"))
{
metric = new moeoAdditiveEpsilonBinaryMetric < ObjectiveVector >;
}
else if (indicatorParam == std::string("Hypervolume"))
{
metric = new moeoHypervolumeBinaryMetric < ObjectiveVector > (rho);
}
else
{
std::string stmp = std::string("Invalid binary quality indicator: ") + indicatorParam;
throw std::runtime_error(stmp.c_str());
}
fitnessAssignment = new moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT > (*metric, kappa);
}
else
{
std::string stmp = std::string("Invalid fitness assignment strategy: ") + fitnessParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(fitnessAssignment);
/* the diversity assignment strategy */
eoValueParam<eoParamParamType> & diversityParam = _parser.createParam(eoParamParamType("Dummy"), "diversity",
"Diversity assignment scheme: Dummy, Sharing(nicheSize) or Crowding", 'D', "Evolution Engine");
eoParamParamType & diversityParamValue = diversityParam.value();
moeoDiversityAssignment < MOEOT > * diversityAssignment;
if (diversityParamValue.first == std::string("Dummy"))
{
diversityAssignment = new moeoDummyDiversityAssignment < MOEOT> ();
}
else if (diversityParamValue.first == std::string("Sharing"))
{
double nicheSize;
if (!diversityParamValue.second.size()) // no parameter added
{
std::cerr << "WARNING, no niche size given for Sharing, using 0.5" << std::endl;
nicheSize = 0.5;
diversityParamValue.second.push_back(std::string("0.5"));
}
else
{
nicheSize = atoi(diversityParamValue.second[0].c_str());
}
diversityAssignment = new moeoFrontByFrontSharingDiversityAssignment < MOEOT> (nicheSize);
}
else if (diversityParamValue.first == std::string("Crowding"))
{
diversityAssignment = new moeoFrontByFrontCrowdingDiversityAssignment < MOEOT> ();
}
else
{
std::string stmp = std::string("Invalid diversity assignment strategy: ") + diversityParamValue.first;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(diversityAssignment);
/* the comparator strategy */
std::string & comparatorParam = _parser.createParam(std::string("FitnessThenDiversity"), "comparator",
"Comparator scheme: FitnessThenDiversity, DiversityThenFitness or Aggregative", 'c', "Evolution Engine").value();
moeoComparator < MOEOT > * comparator;
if (comparatorParam == std::string("FitnessThenDiversity"))
{
comparator = new moeoFitnessThenDiversityComparator < MOEOT> ();
}
else if (comparatorParam == std::string("DiversityThenFitness"))
{
comparator = new moeoDiversityThenFitnessComparator < MOEOT> ();
}
else if (comparatorParam == std::string("Aggregative"))
{
comparator = new moeoAggregativeComparator < MOEOT> ();
}
else
{
std::string stmp = std::string("Invalid comparator strategy: ") + comparatorParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(comparator);
/* the selection strategy */
eoValueParam < eoParamParamType > & selectionParam = _parser.createParam(eoParamParamType("DetTour(2)"), "selection",
"Selection scheme: DetTour(T), StochTour(t) or Random", 'S', "Evolution Engine");
eoParamParamType & ppSelect = selectionParam.value();
moeoSelectOne < MOEOT > * select;
if (ppSelect.first == std::string("DetTour"))
{
unsigned int tSize;
if (!ppSelect.second.size()) // no parameter added
{
std::cerr << "WARNING, no parameter passed to DetTour, using 2" << std::endl;
tSize = 2;
// put back 2 in parameter for consistency (and status file)
ppSelect.second.push_back(std::string("2"));
}
else // parameter passed by user as DetTour(T)
{
tSize = atoi(ppSelect.second[0].c_str());
}
select = new moeoDetTournamentSelect < MOEOT > (*comparator, tSize);
}
else if (ppSelect.first == std::string("StochTour"))
{
double tRate;
if (!ppSelect.second.size()) // no parameter added
{
std::cerr << "WARNING, no parameter passed to StochTour, using 1" << std::endl;
tRate = 1;
// put back 1 in parameter for consistency (and status file)
ppSelect.second.push_back(std::string("1"));
}
else // parameter passed by user as StochTour(T)
{
tRate = atof(ppSelect.second[0].c_str());
}
select = new moeoStochTournamentSelect < MOEOT > (*comparator, tRate);
}
/*
else if (ppSelect.first == string("Roulette"))
{
// TO DO !
// ...
}
*/
else if (ppSelect.first == std::string("Random"))
{
select = new moeoRandomSelect <MOEOT > ();
}
else
{
std::string stmp = std::string("Invalid selection strategy: ") + ppSelect.first;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(select);
/* the replacement strategy */
std::string & replacementParam = _parser.createParam(std::string("Elitist"), "replacement",
"Replacement scheme: Elitist, Environmental or Generational", 'R', "Evolution Engine").value();
moeoReplacement < MOEOT > * replace;
if (replacementParam == std::string("Elitist"))
{
replace = new moeoElitistReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
}
else if (replacementParam == std::string("Environmental"))
{
replace = new moeoEnvironmentalReplacement < MOEOT> (*fitnessAssignment, *diversityAssignment, *comparator);
}
else if (replacementParam == std::string("Generational"))
{
replace = new moeoGenerationalReplacement < MOEOT> ();
}
else
{
std::string stmp = std::string("Invalid replacement strategy: ") + replacementParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(replace);
/* the number of offspring */
eoValueParam < eoHowMany > & offspringRateParam = _parser.createParam(eoHowMany(1.0), "nbOffspring",
"Number of offspring (percentage or absolute)", 'O', "Evolution Engine");
// the general breeder
eoGeneralBreeder < MOEOT > * breed = new eoGeneralBreeder < MOEOT > (*select, _op, offspringRateParam.value());
_state.storeFunctor(breed);
// the eoEasyEA
moeoEA < MOEOT > * algo = new moeoEasyEA < MOEOT > (_continue, _eval, *breed, *replace, *fitnessAssignment, *diversityAssignment);
_state.storeFunctor(algo);
return *algo;
}
#endif /*MAKE_EA_MOEO_H_*/

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/*
* <moeoExhaustiveNeighborhoodExplorer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOEXHAUSTIVENEIGHBORHOODEXPLORER_H
#define _MOEOEXHAUSTIVENEIGHBORHOODEXPLORER_H
#include <eoPop.h>
#include <neighborhood/moNeighbor.h>
#include <neighborhood/moNeighborhood.h>
#include <explorer/moeoPopNeighborhoodExplorer.h>
#include <eval/moEval.h>
/**
* Explorer which explore all the neighborhood
*/
template < class Neighbor>
class moeoExhaustiveNeighborhoodExplorer : public moeoPopNeighborhoodExplorer <Neighbor>
{
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
/** Alias for the objeciveVector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
public:
/**
* Constructor
* @param _neighborhood a neighborhood
* @param _eval neighbor evaluation function
*/
moeoExhaustiveNeighborhoodExplorer(
moNeighborhood<Neighbor>& _neighborhood,
moEval < Neighbor > & _eval):
neighborhood(_neighborhood), eval(_eval){}
/**
* functor to explore the neighborhood
* @param _src the population to explore
* @param _select contains index of individuals from the population to explore
* @param _dest contains new generated individuals
*/
void operator()(eoPop < MOEOT > & _src, std::vector < unsigned int> _select, eoPop < MOEOT > & _dest)
{
for(unsigned int i=0; i<_select.size(); i++)
explore(_src[_select[i]], _dest);
}
private:
/**
* explorer of one individual
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
void explore(MOEOT & _src , eoPop < MOEOT > & _dest)
{
//if the neighborhood is not empty
if(neighborhood.hasNeighbor(_src)){
//init the neighborhood
neighborhood.init(_src, neighbor);
//copy the solution (_src) at the end of the destination (_dest)
_dest.push_back(_src);
//eval the neighbor
eval(_dest.back(),neighbor);
//move the copy
neighbor.move(_dest.back());
//affect objective vector to the copy
_dest.back().objectiveVector(neighbor.fitness());
//fix its flag to 0 (unvisited solution)
_dest.back().flag(0);
//repeat all instructions for each neighbor in the neighborhood
while (neighborhood.cont(_src)){
neighborhood.next(_src, neighbor);
_dest.push_back(_src);
eval(_dest.back(),neighbor);
neighbor.move(_dest.back());
_dest.back().objectiveVector(neighbor.fitness());
_dest.back().flag(0);
}
//fix the source flag to 1 (visited solution)
_src.flag(1);
}
}
/** Neighbor */
Neighbor neighbor;
/** Neighborhood */
moNeighborhood<Neighbor>& neighborhood;
/** neighbor evaluation function */
moEval < Neighbor > & eval;
};
#endif /*_MOEOEXHAUSTIVENEIGHBORHOODEXPLORER_H_*/

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/*
* <moeoFirstImprovingNeighborhoodExplorer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOFIRSTIMPROVINGNEIGHBORHOODEXPLORER_H
#define _MOEOFIRSTIMPROVINGNEIGHBORHOODEXPLORER_H
#include <explorer/moeoSubNeighborhoodExplorer.h>
/**
* Explorer which explore the neighborhood until a improving neighbor is found.
* No dominating neighbor are keeped.
*/
template < class Neighbor >
class moeoFirstImprovingNeighborhoodExplorer : public moeoSubNeighborhoodExplorer < Neighbor >
{
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
/** Alias for the objeciveVector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
using moeoSubNeighborhoodExplorer<Neighbor>::neighborhood;
using moeoSubNeighborhoodExplorer<Neighbor>::neighbor;
public:
/**
* Constructor
* @param _neighborhood a neighborhood
* @param _eval neighbor evaluation function
*/
moeoFirstImprovingNeighborhoodExplorer(
moNeighborhood<Neighbor>& _neighborhood,
moEval < Neighbor > & _eval):
moeoSubNeighborhoodExplorer< Neighbor >(_neighborhood, 0), eval(_eval){}
private:
/**
* explorer of one individual
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
void explore(MOEOT & _src, eoPop < MOEOT > & _dest)
{
//if the neighborhood is not empty
if(neighborhood.hasNeighbor(_src)){
//init the neighborhood
neighborhood.init(_src, neighbor);
//eval the neighbor
cycle(_src, _dest);
//repeat all instructions for each neighbor in the neighborhood until a best neighbor is found
while (!comparator(_src.objectiveVector(), neighbor.fitness()) && neighborhood.cont(_src)){
neighborhood.next(_src, neighbor);
cycle(_src, _dest);
}
//if all neighbors are been visited, fix the source flag to 1 (visited solution)
if(!neighborhood.cont(_src))
_src.flag(1);
}
}
/**
* subfunction of explore
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
void cycle(MOEOT & _src, eoPop < MOEOT > & _dest){
eval(_src, neighbor);
if(!comparator(neighbor.fitness(), _src.objectiveVector())){
//copy the solution (_src) at the end of the destination (_dest)
_dest.push_back(_src);
//move the copy
neighbor.move(_dest.back());
//affect objective vector to the copy
_dest.back().objectiveVector(neighbor.fitness());
//fix its flag to 0 (unvisited solution)
_dest.back().flag(0);
_dest.back().fitness(0);
}
}
/** Objective Vector Pareto Comparator */
moeoParetoObjectiveVectorComparator<ObjectiveVector> comparator;
/** neighbor evaluation function */
moEval < Neighbor > & eval;
};
#endif /*_MOEOFIRSTIMPROVINGNEIGHBORHOODEXPLORER_H_*/

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/*
* <moeoNoDesimprovingNeighborhoodExplorer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEONODESIMPROVINGNEIGHBORHOODEXPLORER_H
#define _MOEONODESIMPROVINGNEIGHBORHOODEXPLORER_H
#include <explorer/moeoSubNeighborhoodExplorer.h>
/**
* Explorer which explore the neighborhood until a no desimproving neighbor is found.
*/
template < class Neighbor >
class moeoNoDesimprovingNeighborhoodExplorer : public moeoSubNeighborhoodExplorer < Neighbor >
{
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
/** Alias for the objeciveVector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
using moeoSubNeighborhoodExplorer<Neighbor>::neighborhood;
using moeoSubNeighborhoodExplorer<Neighbor>::neighbor;
public:
/**
* Constructor
* @param _neighborhood a neighborhood
* @param _eval a neighbor evaluation function
*/
moeoNoDesimprovingNeighborhoodExplorer(
moNeighborhood<Neighbor>& _neighborhood,
moEval < Neighbor > & _eval)
: moeoSubNeighborhoodExplorer< Neighbor >(_neighborhood, 0), eval(_eval){}
private:
/**
* explorer of one individual
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
void explore(MOEOT & _src, eoPop < MOEOT > & _dest)
{
bool tmp=true;
if(neighborhood.hasNeighbor(_src)){
neighborhood.init(_src, neighbor);
eval(_src,neighbor);
if(!comparator(neighbor.fitness(), _src.objectiveVector())){
_dest.push_back(_src);
neighbor.move(_dest.back());
_dest.back().objectiveVector(neighbor.fitness());
_dest.back().flag(0);
tmp=false;
}
while (neighborhood.cont(_src) && tmp){
neighborhood.next(_src, neighbor);
eval(_src,neighbor);
if(!comparator(neighbor.fitness(), _src.objectiveVector())){
_dest.push_back(_src);
neighbor.move(_dest.back());
_dest.back().objectiveVector(neighbor.fitness());
_dest.back().flag(0);
tmp=false;
}
}
if(!neighborhood.cont(_src))
_src.flag(1);
}
}
/** Objective Vector Pareto Comparator */
moeoParetoObjectiveVectorComparator<ObjectiveVector> comparator;
/** neighbor evaluation function */
moEval < Neighbor > & eval;
};
#endif /*_MOEONODESIMPROVINGNEIGHBORHOODEXPLORER_H_*/

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/*
* <moeoPopNeighborhoodExplorer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOPOPNEIGHBORHOODEXPLORER_H
#define _MOEOPOPNEIGHBORHOODEXPLORER_H
#include <eoPop.h>
/**
* Abstract class for multi-objective local search neighborhood exploration
*/
template < class Neighbor >
class moeoPopNeighborhoodExplorer: public eoFunctorBase{
public:
typedef typename Neighbor::EOT MOEOT;
/**
* abstract functor which realize exploration
*/
virtual void operator()(eoPop<MOEOT> &, std::vector <unsigned int>, eoPop<MOEOT> &) = 0;
};
#endif /*MOEONEIGHBORHOODEXPLORER_H_*/

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/*
* <moeoSubNeighborhoodExplorer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOSIMPLESUBNEIGHBORHOODEXPLORER_H
#define _MOEOSIMPLESUBNEIGHBORHOODEXPLORER_H
#include <explorer/moeoSubNeighborhoodExplorer.h>
/**
* Explorer which explore a part of the neighborhood
*/
template < class Neighbor >
class moeoSimpleSubNeighborhoodExplorer : public moeoSubNeighborhoodExplorer < Neighbor >
{
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
/** Alias for the objeciveVector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
using moeoSubNeighborhoodExplorer<Neighbor>::neighborhood;
using moeoSubNeighborhoodExplorer<Neighbor>::neighbor;
using moeoSubNeighborhoodExplorer<Neighbor>::number;
public:
/**
* Constructor
* @param _neighborhood a neighborhood
* @param _number number of neighbor to explore
* @param _eval a neighbor evaluation function
*/
moeoSimpleSubNeighborhoodExplorer(
moNeighborhood<Neighbor>& _neighborhood,
unsigned int _number,
moEval < Neighbor > & _eval)
: moeoSubNeighborhoodExplorer<Neighbor>(_neighborhood, _number), eval(_eval){}
private:
/**
* explorer of one individual
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
void explore(MOEOT & _src, eoPop < MOEOT > & _dest)
{
unsigned int tmp=number;
//if the neighborhood is not empty
if(neighborhood.hasNeighbor(_src) && tmp>0){
//init the neighborhood
neighborhood.init(_src, neighbor);
//eval the neighbor
cycle(_src, _dest);
tmp--;
//repeat all instructions for each neighbor in the neighborhood until a best neighbor is found
while (neighborhood.cont(_src) && tmp>0){
neighborhood.next(_src, neighbor);
cycle(_src, _dest);
tmp--;
}
//if all neighbors are been visited, fix the source flag to 1 (visited solution)
if(!neighborhood.cont(_src))
_src.flag(1);
}
}
/**
* subfunction of explore
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
void cycle(MOEOT & _src, eoPop < MOEOT > & _dest){
eval(_src, neighbor);
//copy the solution (_src) at the end of the destination (_dest)
_dest.push_back(_src);
//move the copy
neighbor.move(_dest.back());
//affect objective vector to the copy
_dest.back().objectiveVector(neighbor.fitness());
//fix its flag to 0 (unvisited solution)
_dest.back().flag(0);
}
/** Incremental evaluation of a neighbor */
moEval < Neighbor > & eval;
};
#endif /*_MOEOSIMPLESUBNEIGHBORHOODEXPLORER_H_*/

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/*
* <moeoSubNeighborhoodExplorer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOSUBNEIGHBORHOODEXPLORER_H
#define _MOEOSUBNEIGHBORHOODEXPLORER_H
#include <eoPop.h>
#include <neighborhood/moNeighbor.h>
#include <neighborhood/moNeighborhood.h>
#include <explorer/moeoPopNeighborhoodExplorer.h>
/**
* Explorer which explore a part of the neighborhood
*/
template < class Neighbor >
class moeoSubNeighborhoodExplorer : public moeoPopNeighborhoodExplorer < Neighbor >
{
/** Alias for the type */
typedef typename Neighbor::EOT MOEOT;
/** Alias for the objeciveVector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
public:
/**
* Constructor
* @param _neighborhood a neighborhood
* @param _number the number of neighbor to explore
*/
moeoSubNeighborhoodExplorer(
moNeighborhood<Neighbor>& _neighborhood,
unsigned int _number)
: neighborhood(_neighborhood), number(_number){}
/**
* functor to explore the neighborhood
* @param _src the population to explore
* @param _select contains index of individuals from the population to explore
* @param _dest contains new generated individuals
*/
void operator()(eoPop < MOEOT > & _src, std::vector <unsigned int> _select, eoPop < MOEOT > & _dest)
{
for(unsigned int i=0; i<_select.size(); i++)
explore(_src[_select[i]], _dest);
}
protected:
/**
* explorer of one individual
* @param _src the individual to explore
* @param _dest contains new generated individuals
*/
virtual void explore(MOEOT & _src, eoPop < MOEOT > & _dest) = 0;
/** Neighbor */
Neighbor neighbor;
/** Neighborhood */
moNeighborhood<Neighbor> & neighborhood;
/** number of neighbor to explore for each selected individual*/
unsigned int number;
};
#endif /*_MOEOSUBNEIGHBORHOODEXPLORER_H_*/

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/*
* <moeoAggregationFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoAggregationFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOAGGREGATIONFITNESSASSIGNMENT_H_
#define MOEOAGGREGATIONFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <eoEvalFunc.h>
#include <fitness/moeoSingleObjectivization.h>
/*
* Fitness assignment scheme which use weight for each objective
*/
template < class MOEOT >
class moeoAggregationFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
* Default ctor
* @param _weight vectors contains all weights.
* @param _eval a eval function, to revalidate the objectiveVector if needed
*/
moeoAggregationFitnessAssignment(std::vector<double> & _weight,eoEvalFunc<MOEOT> &_eval) : weight(_weight),eval(_eval){}
/**
* Ctor with a dummy evaluation function
* @param _weight vectors contains all weights.
*/
moeoAggregationFitnessAssignment(std::vector<double> & _weight) : weight(_weight),eval(defaultEval){}
/**
* Sets the fitness values for _moeot
* @param _moeot the MOEOT
*/
virtual void operator()(MOEOT & _moeot){
if (_moeot.invalidObjectiveVector())
eval(_moeot);
_moeot.fitness(operator()(_moeot.objectiveVector()));
}
/**
* function which calculate the fitness from an objectiveVector (which has troi be valid.)
* @param _mo an valid objectiveVector
* @return the fitness value of _mo
*/
virtual Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
unsigned int dim=_mo.nObjectives();
Fitness res=0;
if (dim>weight.size()){
std::cout<<"moeoAggregationFitnessAssignmentFitness: Error -> given weight dimension is smaller than MOEOTs"<<std::endl;
return res;
}
for(unsigned int l=0; l<dim; l++){
if (_mo.minimizing(l))
res-=(_mo[l]) * weight[l];
else
res+=(_mo[l]) * weight[l];
}
return res;
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop){
for (unsigned int k=0; k < _pop.size(); k++)
operator()(_pop[k]);
}
/**
* Warning: no yet implemented: Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){}
}defaultEval;
//the vector of weight
std::vector<double>& weight;
eoEvalFunc<MOEOT>& eval;
};
#endif /*MOEOAGGREGATIONFITNESSASSIGNMENT_H_*/

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/*
* <moeoBinaryIndicatorBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOBINARYINDICATORBASEDFITNESSASSIGNMENT_H_
#define MOEOBINARYINDICATORBASEDFITNESSASSIGNMENT_H_
#include <fitness/moeoIndicatorBasedFitnessAssignment.h>
/**
* moeoIndicatorBasedFitnessAssignment for binary indicators.
*/
template < class MOEOT >
class moeoBinaryIndicatorBasedFitnessAssignment : public moeoIndicatorBasedFitnessAssignment < MOEOT >
{
public:
/** The type for objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Updates the fitness values of the whole population _pop by taking the new objective vector _objVec into account
* and returns the fitness value of _objVec.
* @param _pop the population
* @param _objVec the objective vector
*/
virtual double updateByAdding(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec) = 0;
};
#endif /*MOEOINDICATORBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoConstraintFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoConstraintFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOCONSTRAINTFITNESSASSIGNMENT_H_
#define MOEOCONSTRAINTFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which give a penalty if MOEOT does not respect constraints
*/
template < class MOEOT >
class moeoConstraintFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/** the fitness type of the solutions */
typedef typename MOEOT::Fitness Fitness;
/** the type of the solutions */
typedef typename ObjectiveVector::Type Type;
/**
* Default ctor
* @param _weight vectors contains all weights to apply for not respecting the contraint in each dimension.
* @param _constraint vector containing the constraints, normalizer is applied to it
* @param _to_optimize dimension in which we ignore the constraint
* @param _normalizer normalizer to apply to each objective
*/
moeoConstraintFitnessAssignment(std::vector<double> & _weight, ObjectiveVector &_constraint, int _to_optimize, moeoObjectiveVectorNormalizer<MOEOT> &_normalizer, eoEvalFunc<MOEOT> &_eval) : weight(_weight),constraint(_constraint),to_optimize(_to_optimize),normalizer(_normalizer),eval(_eval),to_eval(true){}
/**
* Ctor with a dummy eval
* @param _weight vectors contains all weights to apply for not respecting the contraint in each dimension.
* @param _constraint vector containing the constraints, normalizer is applied to it
* @param _to_optimize dimension in which we ignore the constraint
* @param _normalizer normalizer to apply to each objective
*/
moeoConstraintFitnessAssignment(std::vector<double> & _weight, ObjectiveVector &_constraint, int _to_optimize, moeoObjectiveVectorNormalizer<MOEOT> &_normalizer) : weight(_weight), constraint(_constraint), to_optimize(_to_optimize), normalizer(_normalizer), eval(defaultEval), to_eval(false){}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (to_eval && _mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
* Calculate a fitness from a valid objectiveVector
* @param _mo a valid objectiveVector
* @return the fitness of _mo
*/
Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
unsigned int dim=_mo.nObjectives();
Fitness res=0;
if (dim>weight.size()){
std::cout<<"moeoAggregationFitnessAssignmentFitness: ouch, given weight dimension is smaller than MOEOTs"<<std::endl;
}
else{
for(unsigned int l=0; l<dim; l++){
if ((int)l==to_optimize)
if (_mo.minimizing(l))
res-=(normalizer(_mo)[l]) * weight[l];
else
res+=(normalizer(_mo)[l]) * weight[l];
else{
if(_mo.minimizing(l)){
if (normalizer(_mo)[l]>normalizer(constraint)[l])
res-=(normalizer(_mo)[l]-normalizer(constraint)[l])*weight[l];
}
else{
if (normalizer(_mo)[l]<normalizer(constraint)[l])
//negative so we add it instead of removing it
res+=(normalizer(_mo)[l]-normalizer(constraint)[l])*weight[l];
}
}
}
}
return res;
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
for(unsigned int k=0; k<_pop.size(); k++)
operator()(_pop[k]);
}
/**
* Warning: no yet implemented: Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
//std::cout << "WARNING : updateByDeleting not implemented in moeoAssignmentFitnessAssignment" << std::endl;
}
private:
//dummy evaluation function
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
//the vector of weight
std::vector<double> weight;
//the vector of constraints
ObjectiveVector constraint;
//index of the objective to optimize
int to_optimize;
//the normalizer
moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
//the evaluation function
eoEvalFunc<MOEOT> &eval;
//true if the evaluation has to be done
bool to_eval;
};
#endif /*MOEOAGGREGATIONFITNESSASSIGNMENT_H_*/

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/*
* <moeoCriterionBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCRITERIONBASEDFITNESSASSIGNMENT_H_
#define MOEOCRITERIONBASEDFITNESSASSIGNMENT_H_
#include <fitness/moeoFitnessAssignment.h>
/**
* moeoCriterionBasedFitnessAssignment is a moeoFitnessAssignment for criterion-based strategies.
*/
template < class MOEOT >
class moeoCriterionBasedFitnessAssignment : public moeoFitnessAssignment < MOEOT >
{};
#endif /*MOEOCRITERIONBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoDominanceBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODOMINANCEBASEDFITNESSASSIGNMENT_H_
#define MOEODOMINANCEBASEDFITNESSASSIGNMENT_H_
#include <fitness/moeoFitnessAssignment.h>
/**
* moeoDominanceBasedFitnessAssignment is a moeoFitnessAssignment for dominance-based strategies.
*/
template < class MOEOT >
class moeoDominanceBasedFitnessAssignment : public moeoFitnessAssignment < MOEOT >
{};
#endif /*MOEODOMINANCEBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoDominanceCountFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoDominanceCountFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEODOMINANCECOUNTFITNESSASSIGNMENT_H_
#define MOEODOMINANCECOUNTFITNESSASSIGNMENT_H_
#include <vector>
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <archive/moeoUnboundedArchive.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <fitness/moeoDominanceBasedFitnessAssignment.h>
#include <utils/moeoDominanceMatrix.h>
/**
* Fitness assignment sheme that computes how many solutions does each solution dominate.
*/
template < class MOEOT >
class moeoDominanceCountFitnessAssignment : public moeoDominanceBasedFitnessAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
* @param _nocopy boolean to move away clone individuals (default = false)
*/
moeoDominanceCountFitnessAssignment(bool _nocopy=false) : comparator(paretoComparator), archive(defaultArchive), matrix(_nocopy)
{}
/**
* Ctor where you can choose your own archive
* @param _archive an archive to be included in the fitness assignment process
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceCountFitnessAssignment(moeoArchive < MOEOT > & _archive, bool _nocopy=false) : comparator(paretoComparator), archive(_archive), matrix(_nocopy)
{}
/**
* Ctor where you can choose your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceCountFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, bool _nocopy=false) : comparator(_comparator), archive(defaultArchive), matrix(_comparator, _nocopy)
{}
/**
* Ctor where you can choose your own archive and your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
* @param _archive an archive to be included in the fitness assignment process
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceCountFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, moeoArchive < MOEOT > & _archive, bool _nocopy=false) : comparator(_comparator), archive(_archive), matrix(_comparator, _nocopy)
{}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int j= _pop.size();
unsigned int i= archive.size();
matrix(archive,_pop);
for (unsigned int k=0; k<i; k++)
archive[k].fitness(matrix.count(k));
for (unsigned int k=i; k<i+j; k++)
_pop[k-i].fitness(matrix.count(k));
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoDominanceCountFitnessAssignment" << std::endl;
}
private:
/** Functor to compare two objective vectors */
moeoObjectiveVectorComparator < ObjectiveVector > & comparator;
/** Functor to compare two objective vectors according to Pareto dominance relation */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/** Archive to be included in the fitness assignment process */
moeoArchive < MOEOT > & archive;
/** Default archive */
moeoUnboundedArchive < MOEOT > defaultArchive;
/** Dominance Matrix */
moeoDominanceMatrix < MOEOT > matrix;
};
#endif /*MOEODOMINANCECOUNTFITNESSASSIGNMENT_H_*/

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/*
* <moeoDominanceCountRankingFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoDominanceCountRankingFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEODOMINANCECOUNTRANKINGFITNESSASSIGNMENT_H_
#define MOEODOMINANCECOUNTRANKINGFITNESSASSIGNMENT_H_
#include <vector>
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <archive/moeoUnboundedArchive.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <fitness/moeoDominanceBasedFitnessAssignment.h>
#include <utils/moeoDominanceMatrix.h>
/**
* Fitness assignment sheme that sum-up the ranks of all solutions dominated by each solution.
* This strategy is used, for instance, in SPEA2.
* E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103,
* Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001.
*/
template < class MOEOT >
class moeoDominanceCountRankingFitnessAssignment : public moeoDominanceBasedFitnessAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
* @param _nocopy boolean to move away copies
*/
moeoDominanceCountRankingFitnessAssignment(bool _nocopy=true) : comparator(paretoComparator), archive(defaultArchive), matrix(_nocopy)
{}
/**
* Ctor where you can choose your own archive
* @param _archive the archive used
* @param _nocopy boolean to move away copies
*/
moeoDominanceCountRankingFitnessAssignment(moeoArchive < MOEOT > & _archive, bool _nocopy=true) : comparator(paretoComparator), archive(_archive), matrix(_nocopy)
{}
/**
* Ctor where you can choose your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
* @param _nocopy boolean to move away copies
*/
moeoDominanceCountRankingFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, bool _nocopy=true) : comparator(_comparator), archive(defaultArchive), matrix(_comparator, _nocopy)
{}
/**
* Ctor where you can choose your own archive and your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
* @param _archive the archive used
* @param _nocopy boolean to move away copies
*/
moeoDominanceCountRankingFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, moeoArchive < MOEOT > & _archive, bool _nocopy=true) : comparator(_comparator), archive(_archive), matrix(_comparator, _nocopy)
{}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int i= _pop.size();
unsigned int j= archive.size();
matrix(archive,_pop);
for (unsigned int k=0; k<j; k++)
archive[k].fitness(countRanking(k));
for (unsigned int k=j; k<i+j; k++)
_pop[k-j].fitness(countRanking(k));
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoDominanceCountRankingFitnessAssignment" << std::endl;
}
private:
/** Functor to compare two objective vectors */
moeoObjectiveVectorComparator < ObjectiveVector > & comparator;
/** Functor to compare two objective vectors according to Pareto dominance relation */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/** Archive to be included in the fitness assignment process */
moeoArchive < MOEOT > & archive;
/** Default archive */
moeoUnboundedArchive < MOEOT > defaultArchive;
/** Dominance Matrix */
moeoDominanceMatrix <MOEOT> matrix;
/**
* @param _i index of the column
*/
double countRanking(unsigned int _i)
{
double res=0;
for (unsigned int k=0; k<matrix.size(); k++)
{
if (matrix[k][_i])
res+=matrix.count(k);
}
return -res;
}
};
#endif /*MOEODOMINANCECOUNTRANKINGFITNESSASSIGNMENT_H_*/

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/*
* <moeoDominanceDepthFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODOMINANCEDEPTHFITNESSASSIGNMENT_H_
#define MOEODOMINANCEDEPTHFITNESSASSIGNMENT_H_
#include <vector>
#include <eoPop.h>
#include <comparator/moeoObjectiveObjectiveVectorComparator.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <fitness/moeoDominanceBasedFitnessAssignment.h>
/**
* Fitness assignment sheme based on Pareto-dominance count proposed in:
* N. Srinivas, K. Deb, "Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms", Evolutionary Computation vol. 2, no. 3, pp. 221-248 (1994)
* and in:
* K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, "A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, no. 2 (2002).
* This strategy is, for instance, used in NSGA and NSGA-II.
*/
template < class MOEOT >
class moeoDominanceDepthFitnessAssignment : public moeoDominanceBasedFitnessAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
*/
moeoDominanceDepthFitnessAssignment() : comparator(paretoComparator)
{}
/**
* Ctor where you can choose your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
*/
moeoDominanceDepthFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator) : comparator(_comparator)
{}
/**
* Sets the fitness values for every solution contained in the population _pop
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
// number of objectives for the problem under consideration
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
if (nObjectives == 1)
{
// one objective
oneObjective(_pop);
}
else if (nObjectives == 2)
{
// two objectives (the two objectives function is still to implement)
mObjectives(_pop);
}
else if (nObjectives > 2)
{
// more than two objectives
mObjectives(_pop);
}
else
{
// problem with the number of objectives
throw std::runtime_error("Problem with the number of objectives in moeoDominanceDepthFitnessAssignment");
}
// a higher fitness is better, so the values need to be inverted
double max = _pop[0].fitness();
for (unsigned int i=1 ; i<_pop.size() ; i++)
{
max = std::max(max, _pop[i].fitness());
}
for (unsigned int i=0 ; i<_pop.size() ; i++)
{
_pop[i].fitness(max - _pop[i].fitness());
}
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
for (unsigned int i=0; i<_pop.size(); i++)
{
// if _pop[i] is dominated by _objVec
if ( comparator(_pop[i].objectiveVector(), _objVec) )
{
_pop[i].fitness(_pop[i].fitness()+1);
}
}
}
private:
/** Functor to compare two objective vectors */
moeoObjectiveVectorComparator < ObjectiveVector > & comparator;
/** Functor to compare two objective vectors according to Pareto dominance relation */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/** Functor allowing to compare two solutions according to their first objective value, then their second, and so on. */
class ObjectiveComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 < _moeo2 on the first objective, then on the second, and so on
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return cmp(_moeo1.objectiveVector(), _moeo2.objectiveVector());
}
private:
/** the corresponding comparator for objective vectors */
moeoObjectiveObjectiveVectorComparator < ObjectiveVector > cmp;
}
objComparator;
/**
* Sets the fitness values for mono-objective problems
* @param _pop the population
*/
void oneObjective (eoPop < MOEOT > & _pop)
{
// sorts the population in the ascending order
std::sort(_pop.begin(), _pop.end(), objComparator);
// assign fitness values
unsigned int rank = 1;
_pop[_pop.size()-1].fitness(rank);
for (int i=_pop.size()-2; i>=0; i--)
{
if (_pop[i].objectiveVector() != _pop[i+1].objectiveVector())
{
rank++;
}
_pop[i].fitness(rank);
}
}
/**
* Sets the fitness values for bi-objective problems with a complexity of O(n log n), where n stands for the population size
* @param _pop the population
*/
void twoObjectives (eoPop < MOEOT > & _pop)
{
//... TO DO !
}
/**
* Sets the fitness values for problems with more than two objectives with a complexity of O(n² log n), where n stands for the population size
* @param _pop the population
*/
void mObjectives (eoPop < MOEOT > & _pop)
{
// S[i] = indexes of the individuals dominated by _pop[i]
std::vector < std::vector<unsigned int> > S(_pop.size());
// n[i] = number of individuals that dominate the individual _pop[i]
std::vector < unsigned int > n(_pop.size(), 0);
// fronts: F[i] = indexes of the individuals contained in the ith front
std::vector < std::vector<unsigned int> > F(_pop.size()+2);
// used to store the number of the first front
F[1].reserve(_pop.size());
for (unsigned int p=0; p<_pop.size(); p++)
{
for (unsigned int q=0; q<_pop.size(); q++)
{
// if q is dominated by p
if ( comparator(_pop[q].objectiveVector(), _pop[p].objectiveVector()) )
{
// add q to the set of solutions dominated by p
S[p].push_back(q);
}
// if p is dominated by q
else if ( comparator(_pop[p].objectiveVector(), _pop[q].objectiveVector()) )
{
// increment the domination counter of p
n[p]++;
}
}
// if no individual dominates p
if (n[p] == 0)
{
// p belongs to the first front
_pop[p].fitness(1);
F[1].push_back(p);
}
}
// front counter
unsigned int counter=1;
unsigned int p,q;
while (! F[counter].empty())
{
// used to store the number of the next front
F[counter+1].reserve(_pop.size());
for (unsigned int i=0; i<F[counter].size(); i++)
{
p = F[counter][i];
for (unsigned int j=0; j<S[p].size(); j++)
{
q = S[p][j];
n[q]--;
// if no individual dominates q anymore
if (n[q] == 0)
{
// q belongs to the next front
_pop[q].fitness(counter+1);
F[counter+1].push_back(q);
}
}
}
counter++;
}
}
} ;
#endif /*MOEODOMINANCEDEPTHFITNESSASSIGNMENT_H_*/

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/*
* <moeoDominanceRankFitnessAssignment.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoDominanceRankFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#ifndef MOEODOMINANCERANKFITNESSASSIGNEMENT_H_
#define MOEODOMINANCERANKFITNESSASSIGNEMENT_H_
#include <vector>
#include <eoPop.h>
#include <archive/moeoArchive.h>
#include <archive/moeoUnboundedArchive.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <fitness/moeoDominanceBasedFitnessAssignment.h>
#include <utils/moeoDominanceMatrix.h>
/**
* Fitness assignment sheme that computes how many solutions each solution is dominated by.
*/
template < class MOEOT >
class moeoDominanceRankFitnessAssignment : public moeoDominanceBasedFitnessAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
* @param _start a start value used to determine the fitness (default _start = 1.0)
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceRankFitnessAssignment(double _start=1.0, bool _nocopy=true) : comparator(paretoComparator), archive(defaultArchive), start(_start), matrix(_nocopy)
{}
/**
* Ctor where you can choose your own archive
* @param _archive an archive to be included in the fitness assignment process
* @param _start a start value used to determine the fitness (default _start = 1.0)
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceRankFitnessAssignment(moeoArchive < MOEOT > & _archive, double _start=1.0, bool _nocopy=true) : comparator(paretoComparator), archive(_archive), start(_start), matrix(_nocopy)
{}
/**
* Ctor where you can choose your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
* @param _start a start value used to determine the fitness (default _start = 1.0)
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceRankFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, double _start=1.0, bool _nocopy=true) : comparator(_comparator), archive(defaultArchive), start(_start), matrix(_comparator, _nocopy)
{}
/**
* Ctor where you can choose your own archive and your own way to compare objective vectors
* @param _comparator the functor used to compare objective vectors
* @param _archive an archive to be included in the fitness assignment process
* @param _start a start value used to determine the fitness (default _start = 1.0)
* @param _nocopy boolean to penalize clone individuals (default = false)
*/
moeoDominanceRankFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, moeoArchive < MOEOT > & _archive, double _start=1.0, bool _nocopy=true) : comparator(_comparator), archive(_archive), start(_start), matrix(_comparator, _nocopy)
{}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int i= archive.size();
unsigned int j= _pop.size();
matrix(archive, _pop);
for (unsigned int k=0; k<i; k++)
archive[k].fitness(-(matrix.rank(k)+start));
for (unsigned int k=i; k<i+j; k++)
_pop[k-i].fitness(-(matrix.rank(k)+start));
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::cout << "WARNING : updateByDeleting not implemented in moeoDominanceRankFitnessAssignment" << std::endl;
}
private:
/** Functor to compare two objective vectors */
moeoObjectiveVectorComparator < ObjectiveVector > & comparator;
/** Functor to compare two objective vectors according to Pareto dominance relation */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/** Archive to be included in the fitness assignment process */
moeoArchive < MOEOT > & archive;
/** Default archive */
moeoUnboundedArchive < MOEOT > defaultArchive;
/** Start value */
double start;
/** Dominance Matrix */
moeoDominanceMatrix < MOEOT > matrix;
};
#endif /*MOEODOMINANCERANKFITNESSASSIGNMENT_H_*/

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/*
* <moeoDummyFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODUMMYFITNESSASSIGNMENT_H_
#define MOEODUMMYFITNESSASSIGNMENT_H_
#include <fitness/moeoFitnessAssignment.h>
/**
* moeoDummyFitnessAssignment is a moeoFitnessAssignment that gives the value '0' as the individual's fitness for a whole population if it is invalid.
*/
template < class MOEOT >
class moeoDummyFitnessAssignment : public moeoFitnessAssignment < MOEOT >
{
public:
/** The type for objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Sets the fitness to '0' for every individuals of the population _pop if it is invalid
* @param _pop the population
*/
void operator () (eoPop < MOEOT > & _pop)
{
for (unsigned int idx = 0; idx<_pop.size (); idx++)
{
if (_pop[idx].invalidFitness())
{
// set the diversity to 0
_pop[idx].fitness(0.0);
}
}
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
// nothing to do... ;-)
}
};
#endif /*MOEODUMMYFITNESSASSIGNMENT_H_*/

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/*
* <moeoExpBinaryIndicatorBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEXPBINARYINDICATORBASEDFITNESSASSIGNMENT_H_
#define MOEOEXPBINARYINDICATORBASEDFITNESSASSIGNMENT_H_
#include <math.h>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoBinaryIndicatorBasedFitnessAssignment.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <utils/moeoConvertPopToObjectiveVectors.h>
/**
* Fitness assignment sheme based on an indicator proposed in:
* E. Zitzler, S. Künzli, "Indicator-Based Selection in Multiobjective Search", Proc. 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pp. 832-842, Birmingham, UK (2004).
* This strategy is, for instance, used in IBEA.
*/
template < class MOEOT >
class moeoExpBinaryIndicatorBasedFitnessAssignment : public moeoBinaryIndicatorBasedFitnessAssignment < MOEOT >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor.
* @param _metric the quality indicator
* @param _kappa the scaling factor
*/
moeoExpBinaryIndicatorBasedFitnessAssignment(moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa = 0.05) : metric(_metric), kappa(_kappa)
{}
/**
* Sets the fitness values for every solution contained in the population _pop
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
// 1 - setting of the bounds
setup(_pop);
// 2 - computing every indicator values
computeValues(_pop);
// 3 - setting fitnesses
setFitnesses(_pop);
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::vector < double > v;
v.resize(_pop.size());
for (unsigned int i=0; i<_pop.size(); i++)
{
v[i] = metric(_objVec, _pop[i].objectiveVector());
}
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].fitness( _pop[i].fitness() + exp(-v[i]/kappa) );
}
}
/**
* Updates the fitness values of the whole population _pop by taking the adding of the objective vector _objVec into account
* and returns the fitness value of _objVec.
* @param _pop the population
* @param _objVec the objective vector
*/
double updateByAdding(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
std::vector < double > v;
// update every fitness values to take the new individual into account
v.resize(_pop.size());
for (unsigned int i=0; i<_pop.size(); i++)
{
v[i] = metric(_objVec, _pop[i].objectiveVector());
}
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].fitness( _pop[i].fitness() - exp(-v[i]/kappa) );
}
// compute the fitness of the new individual
v.clear();
v.resize(_pop.size());
for (unsigned int i=0; i<_pop.size(); i++)
{
v[i] = metric(_pop[i].objectiveVector(), _objVec);
}
double result = 0;
for (unsigned int i=0; i<v.size(); i++)
{
result -= exp(-v[i]/kappa);
}
return result;
}
protected:
/** the quality indicator */
moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & metric;
/** the scaling factor */
double kappa;
/** the computed indicator values */
std::vector < std::vector<double> > values;
/**
* Sets the bounds for every objective using the min and the max value for every objective vector of _pop
* @param _pop the population
*/
void setup(const eoPop < MOEOT > & _pop)
{
double min, max;
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
min = _pop[0].objectiveVector()[i];
max = _pop[0].objectiveVector()[i];
for (unsigned int j=1; j<_pop.size(); j++)
{
min = std::min(min, _pop[j].objectiveVector()[i]);
max = std::max(max, _pop[j].objectiveVector()[i]);
}
// setting of the bounds for the objective i
metric.setup(min, max, i);
}
}
/**
* Compute every indicator value in values (values[i] = I(_v[i], _o))
* @param _pop the population
*/
void computeValues(const eoPop < MOEOT > & _pop)
{
values.clear();
values.resize(_pop.size());
for (unsigned int i=0; i<_pop.size(); i++)
{
values[i].resize(_pop.size());
for (unsigned int j=0; j<_pop.size(); j++)
{
if (i != j)
{
values[i][j] = metric(_pop[i].objectiveVector(), _pop[j].objectiveVector());
}
}
}
}
/**
* Sets the fitness value of the whple population
* @param _pop the population
*/
void setFitnesses(eoPop < MOEOT > & _pop)
{
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].fitness(computeFitness(i));
}
}
/**
* Returns the fitness value of the _idx th individual of the population
* @param _idx the index
*/
double computeFitness(const unsigned int _idx)
{
double result = 0;
for (unsigned int i=0; i<values.size(); i++)
{
if (i != _idx)
{
result -= exp(-values[i][_idx]/kappa);
}
}
return result;
}
};
#endif /*MOEOEXPBINARYINDICATORBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOFITNESSASSIGNMENT_H_
#define MOEOFITNESSASSIGNMENT_H_
#include <eoFunctor.h>
#include <eoPop.h>
/**
* Functor that sets the fitness values of a whole population.
*/
template < class MOEOT >
class moeoFitnessAssignment : public eoUF < eoPop < MOEOT > &, void >
{
public:
/** The type for objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
virtual void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec) = 0;
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the individual _moeo into account.
* @param _pop the population
* @param _moeo the individual
*/
void updateByDeleting(eoPop < MOEOT > & _pop, MOEOT & _moeo)
{
updateByDeleting(_pop, _moeo.objectiveVector());
}
};
#endif /*MOEOFITNESSASSIGNMENT_H_*/

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/*
* <moeoIndicatorBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOINDICATORBASEDFITNESSASSIGNMENT_H_
#define MOEOINDICATORBASEDFITNESSASSIGNMENT_H_
#include <fitness/moeoFitnessAssignment.h>
/**
* moeoIndicatorBasedFitnessAssignment is a moeoFitnessAssignment for Indicator-based strategies.
*/
template < class MOEOT >
class moeoIndicatorBasedFitnessAssignment : public moeoFitnessAssignment < MOEOT >
{};
#endif /*MOEOINDICATORBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoReferencePointIndicatorBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOREFERENCEPOINTINDICATORBASEDFITNESSASSIGNMENT_H_
#define MOEOREFERENCEPOINTINDICATORBASEDFITNESSASSIGNMENT_H_
#include <math.h>
#include <eoPop.h>
#include <fitness/moeoFitnessAssignment.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
/**
* Fitness assignment sheme based a Reference Point and a Quality Indicator.
*/
template < class MOEOT >
class moeoReferencePointIndicatorBasedFitnessAssignment : public moeoFitnessAssignment < MOEOT >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _refPoint the reference point
* @param _metric the quality indicator
*/
moeoReferencePointIndicatorBasedFitnessAssignment (ObjectiveVector & _refPoint, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric) :
refPoint(_refPoint), metric(_metric)
{}
/**
* Sets the fitness values for every solution contained in the population _pop
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
// 1 - setting of the bounds
setup(_pop);
// 2 - setting fitnesses
setFitnesses(_pop);
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
// nothing to do ;-)
}
protected:
/** the reference point */
ObjectiveVector & refPoint;
/** the quality indicator */
moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & metric;
/**
* Sets the bounds for every objective using the min and the max value for every objective vector of _pop (and the reference point)
* @param _pop the population
*/
void setup(const eoPop < MOEOT > & _pop)
{
double min, max;
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
min = refPoint[i];
max = refPoint[i];
for (unsigned int j=0; j<_pop.size(); j++)
{
min = std::min(min, _pop[j].objectiveVector()[i]);
max = std::max(max, _pop[j].objectiveVector()[i]);
}
// setting of the bounds for the objective i
metric.setup(min, max, i);
}
}
/**
* Sets the fitness of every individual contained in the population _pop
* @param _pop the population
*/
void setFitnesses(eoPop < MOEOT > & _pop)
{
for (unsigned int i=0; i<_pop.size(); i++)
{
_pop[i].fitness(- metric(_pop[i].objectiveVector(), refPoint) );
}
}
};
#endif /*MOEOREFERENCEPOINTINDICATORBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoScalarFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOSCALARFITNESSASSIGNMENT_H_
#define MOEOSCALARFITNESSASSIGNMENT_H_
#include <fitness/moeoFitnessAssignment.h>
/**
* moeoScalarFitnessAssignment is a moeoFitnessAssignment for scalar strategies.
*/
template < class MOEOT >
class moeoScalarFitnessAssignment : public moeoFitnessAssignment < MOEOT >
{};
#endif /*MOEOSCALARFITNESSASSIGNMENT_H_*/

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/*
* <moeoSingleObjectivization.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2009
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOSINGLEOBJECTIVIZATION_H_
#define MOEOSINGLEOBJECTIVIZATION_H_
#include <fitness/moeoFitnessAssignment.h>
#include <eoEvalFunc.h>
/**
* Class to adapt multiobjective problems to single objective algorithms
*/
template < class MOEOT >
class moeoSingleObjectivization : public moeoFitnessAssignment < MOEOT > , public eoEvalFunc < MOEOT >
{
public:
/**
* herited from moeoFitnessAssignment
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > & _pop)=0;
/**
herited from eoEvalFunc
@param _moeot
*/
virtual void operator() (MOEOT & _moeot)=0;
virtual typename MOEOT::Fitness operator() (const typename MOEOT::ObjectiveVector & _obj)=0;
};
#endif /*MOEOSINGLEOBJECTIVIZATION_H_*/

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/*
* <moeoUnaryIndicatorBasedFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOUNARYINDICATORBASEDFITNESSASSIGNMENT_H_
#define MOEOUNARYINDICATORBASEDFITNESSASSIGNMENT_H_
#include <fitness/moeoIndicatorBasedFitnessAssignment.h>
/**
* moeoIndicatorBasedFitnessAssignment for unary indicators.
*/
template < class MOEOT >
class moeoUnaryIndicatorBasedFitnessAssignment : public moeoIndicatorBasedFitnessAssignment < MOEOT >
{};
#endif /*MOEOINDICATORBASEDFITNESSASSIGNMENT_H_*/

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/*
* <moeoDMLSGenUpdater.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEODMLSGENUPDATER_H
#define _MOEODMLSGENUPDATER_H
#include <eoGenContinue.h>
#include <eoEvalFunc.h>
#include <archive/moeoArchive.h>
#include <archive/moeoUnboundedArchive.h>
#include <explorer/moeoPopNeighborhoodExplorer.h>
#include <selection/moeoUnvisitedSelect.h>
#include <algo/moeoUnifiedDominanceBasedLS.h>
/** updater allowing hybridization with a dmls at checkpointing*/
template < class Neighbor >
class moeoDMLSGenUpdater : public eoUpdater
{
typedef typename Neighbor::EOT MOEOT;
public :
/** Ctor with a dmls.
* @param _dmls the dmls use for the hybridization (!!! Special care is needed when choosing the continuator of the dmls !!!)
* @param _dmlsArchive an archive (used to instantiate the dmls)
* @param _globalArchive the same archive used in the other algorithm
* @param _continuator is a Generational Continuator which allow to run dmls on the global archive each X generation(s)
* @param _verbose verbose mode
*/
moeoDMLSGenUpdater(moeoUnifiedDominanceBasedLS <Neighbor> & _dmls,
moeoArchive < MOEOT > & _dmlsArchive,
moeoArchive < MOEOT > & _globalArchive,
eoGenContinue < MOEOT > & _continuator,
bool _verbose = true):
defaultContinuator(0), dmlsArchive(_dmlsArchive), dmls(_dmls), globalArchive(_globalArchive), continuator(_continuator), verbose(_verbose){}
/** Ctor with a dmls.
* @param _eval a evaluation function (used to instantiate the dmls)
* @param _explorer a neighborhood explorer (used to instantiate the dmls)
* @param _select a selector of unvisited individuals of a population (used to instantiate the dmls)
* @param _globalArchive the same archive used in the other algorithm
* @param _continuator is a Generational Continuator which allow to run dmls on the global archive each X generation(s)
* @param _step (default=1) is the number of Generation of dmls (used to instantiate the defaultContinuator for the dmls)
* @param _verbose verbose mode
*/
moeoDMLSGenUpdater(eoEvalFunc < MOEOT > & _eval,
moeoPopNeighborhoodExplorer < Neighbor > & _explorer,
moeoUnvisitedSelect < MOEOT > & _select,
moeoArchive < MOEOT > & _globalArchive,
eoGenContinue < MOEOT > & _continuator,
unsigned int _step=1,
bool _verbose = true):
defaultContinuator(_step), dmlsArchive(defaultArchive), dmls(defaultContinuator, _eval, defaultArchive, _explorer, _select), globalArchive(_globalArchive), continuator(_continuator), verbose(_verbose){}
/** Ctor with a dmls.
* @param _eval a evaluation function (used to instantiate the dmls)
* @param _dmlsArchive an archive (used to instantiate the dmls)
* @param _explorer a neighborhood explorer (used to instantiate the dmls)
* @param _select a selector of unvisited individuals of a population (used to instantiate the dmls)
* @param _globalArchive the same archive used in the other algorithm
* @param _continuator is a Generational Continuator which allow to run dmls on the global archive each X generation(s)
* @param _step (default=1) is the number of Generation of dmls (used to instantiate the defaultContinuator for the dmls)
* @param _verbose verbose mode
*/
moeoDMLSGenUpdater(eoEvalFunc < MOEOT > & _eval,
moeoArchive < MOEOT > & _dmlsArchive,
moeoPopNeighborhoodExplorer < Neighbor > & _explorer,
moeoUnvisitedSelect < MOEOT > & _select,
moeoArchive < MOEOT > & _globalArchive,
eoGenContinue < MOEOT > & _continuator,
unsigned int _step=1,
bool _verbose = true):
defaultContinuator(_step), dmlsArchive(_dmlsArchive), dmls(defaultContinuator, _eval, _dmlsArchive, _explorer, _select), globalArchive(_globalArchive), continuator(_continuator), verbose(_verbose){}
/** functor which allow to run the dmls*/
virtual void operator()()
{
if(!continuator(globalArchive)){
if(verbose)
std::cout << std::endl << "moeoDMLSGenUpdater: dmls start" << std::endl;
dmls(globalArchive);
globalArchive(dmlsArchive);
if(verbose)
std::cout << "moeoDMLSGenUpdater: dmls stop" << std::endl;
defaultContinuator.totalGenerations(defaultContinuator.totalGenerations());
if(verbose)
std::cout << "the other algorithm restart for " << continuator.totalGenerations() << " generation(s)" << std::endl << std::endl;
continuator.totalGenerations(continuator.totalGenerations());
}
}
/**
* @return the class name
*/
virtual std::string className(void) const { return "moeoDMLSGenUpdater"; }
private:
/** defaultContinuator used for the dmls */
eoGenContinue < MOEOT > defaultContinuator;
/** dmls archive */
moeoArchive < MOEOT > & dmlsArchive;
/** default archive used for the dmls */
moeoUnboundedArchive < MOEOT > defaultArchive;
/** the dmls */
moeoUnifiedDominanceBasedLS <Neighbor> dmls;
/** the global archive */
moeoArchive < MOEOT > & globalArchive;
/** continuator used to run the dmls each X generation(s) */
eoGenContinue < MOEOT > & continuator;
/** verbose mode */
bool verbose;
};
#endif /*_MOEODMLSGENUPDATER_H_*/

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/*
* <moeoDMLSMonOp.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jérémie Humeau
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEODMLSMONOP_H
#define _MOEODMLSMONOP_H
#include <eoGenContinue.h>
#include <utils/eoRNG.h>
#include <eoEvalFunc.h>
#include <archive/moeoArchive.h>
#include <archive/moeoUnboundedArchive.h>
#include <explorer/moeoPopNeighborhoodExplorer.h>
#include <selection/moeoUnvisitedSelect.h>
#include <algo/moeoUnifiedDominanceBasedLS.h>
/** eoMonOp allowing hybridization with a dmls at mutation */
template < class Neighbor >
class moeoDMLSMonOp : public eoMonOp < typename Neighbor::EOT >
{
typedef typename Neighbor::EOT MOEOT;
public :
/** Ctor with a dmls.
* @param _dmls the dmls use for the hybridization (!!! Special care is needed when choosing the continuator of the dmls !!!)
* @param _dmlsArchive an archive (used to instantiate the dmls)
* @param _verbose verbose mode
*/
moeoDMLSMonOp(moeoUnifiedDominanceBasedLS <Neighbor> & _dmls,
moeoArchive < MOEOT > & _dmlsArchive,
bool _verbose = true):
defaultContinuator(0), dmlsArchive(_dmlsArchive), dmls(_dmls), verbose(_verbose) {}
/** Ctor with a dmls.
* @param _eval a evaluation function (used to instantiate the dmls)
* @param _explorer a neighborhood explorer (used to instantiate the dmls)
* @param _select a selector of unvisited individuals of a population (used to instantiate the dmls)
* @param _step (default=1) is the number of Generation of dmls (used to instantiate the defaultContinuator for the dmls)
* @param _verbose verbose mode
*/
moeoDMLSMonOp(eoEvalFunc < MOEOT > & _eval,
moeoPopNeighborhoodExplorer < Neighbor > & _explorer,
moeoUnvisitedSelect < MOEOT > & _select,
unsigned int _step=1,
bool _verbose = true):
defaultContinuator(_step), dmlsArchive(defaultArchive), dmls(defaultContinuator, _eval, defaultArchive, _explorer, _select), verbose(_verbose){}
/** Ctor with a dmls.
* @param _eval a evaluation function (used to instantiate the dmls)
* @param _dmlsArchive an archive (used to instantiate the dmls)
* @param _explorer a neighborhood explorer (used to instantiate the dmls)
* @param _select a selector of unvisited individuals of a population (used to instantiate the dmls)
* @param _step (default=1) is the number of Generation of dmls (used to instantiate the defaultContinuator for the dmls)
* @param _verbose verbose mode
*/
moeoDMLSMonOp(eoEvalFunc < MOEOT > & _eval,
moeoArchive < MOEOT > & _dmlsArchive,
moeoPopNeighborhoodExplorer < Neighbor > & _explorer,
moeoUnvisitedSelect < MOEOT > & _select,
unsigned int _step=1,
bool _verbose = true):
defaultContinuator(_step), dmlsArchive(_dmlsArchive), dmls(defaultContinuator, _eval, _dmlsArchive, _explorer, _select), verbose(_verbose){}
/** functor which allow to run the dmls on a MOEOT and return one of the resulting archive*/
bool operator()( MOEOT & _moeo)
{
if(verbose)
std::cout << std::endl << "moeoDMLSMonOp: dmls start" << std::endl;
unsigned int tmp;
eoPop < MOEOT> pop;
pop.push_back(_moeo);
dmls(pop);
tmp = rng.random(dmlsArchive.size());
_moeo = dmlsArchive[tmp];
defaultContinuator.totalGenerations(defaultContinuator.totalGenerations());
if(verbose)
std::cout << "moeoDMLSMonOp: dmls stop" << std::endl << std::endl;
return false;
}
/**
* @return the class name
*/
virtual std::string className(void) const { return "moeoDMLSMonOp"; }
private:
/** defaultContinuator used for the dmls */
eoGenContinue < MOEOT > defaultContinuator;
/** dmls archive */
moeoArchive < MOEOT > & dmlsArchive;
/** default archive used for the dmls */
moeoUnboundedArchive < MOEOT > defaultArchive;
/** the dmls */
moeoUnifiedDominanceBasedLS <Neighbor> dmls;
/** verbose mode */
bool verbose;
};
#endif /*_MOEODMLSMONOP_H_*/

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/*
* <moeoAdditiveEpsilonBinaryMetric.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOADDITIVEEPSILONBINARYMETRIC_H_
#define MOEOADDITIVEEPSILONBINARYMETRIC_H_
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
/**
* Additive epsilon binary metric allowing to compare two objective vectors as proposed in
* Zitzler E., Thiele L., Laumanns M., Fonseca C. M., Grunert da Fonseca V.:
* Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation 7(2), pp.117132 (2003).
*/
template < class ObjectiveVector >
class moeoAdditiveEpsilonBinaryMetric : public moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double >
{
public:
/**
* Returns the minimal distance by which the objective vector _o1 must be translated in all objectives
* so that it weakly dominates the objective vector _o2
* @warning don't forget to set the bounds for every objective before the call of this function
* @param _o1 the first objective vector
* @param _o2 the second objective vector
*/
double operator()(const ObjectiveVector & _o1, const ObjectiveVector & _o2)
{
// computation of the epsilon value for the first objective
double result = epsilon(_o1, _o2, 0);
// computation of the epsilon value for the other objectives
double tmp;
for (unsigned int i=1; i<ObjectiveVector::Traits::nObjectives(); i++)
{
tmp = epsilon(_o1, _o2, i);
result = std::max(result, tmp);
}
// returns the maximum epsilon value
return result;
}
private:
/** the bounds for every objective */
using moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > :: bounds;
/**
* Returns the epsilon value by which the objective vector _o1 must be translated in the objective _obj
* so that it dominates the objective vector _o2
* @param _o1 the first objective vector
* @param _o2 the second objective vector
* @param _obj the index of the objective
*/
double epsilon(const ObjectiveVector & _o1, const ObjectiveVector & _o2, const unsigned int _obj)
{
double result;
// if the objective _obj have to be minimized
if (ObjectiveVector::Traits::minimizing(_obj))
{
// _o1[_obj] - _o2[_obj]
result = ( (_o1[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() ) - ( (_o2[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() );
}
// if the objective _obj have to be maximized
else
{
// _o2[_obj] - _o1[_obj]
result = ( (_o2[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() ) - ( (_o1[_obj] - bounds[_obj].minimum()) / bounds[_obj].range() );
}
return result;
}
};
#endif /*MOEOADDITIVEEPSILONBINARYMETRIC_H_*/

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/*
* <moeoContributionMetric.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCONTRIBUTIONMETRIC_H_
#define MOEOCONTRIBUTIONMETRIC_H_
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <metric/moeoMetric.h>
/**
* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
*/
template < class ObjectiveVector >
class moeoContributionMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
{
public:
/**
* Returns the contribution of the Pareto set '_set1' relatively to the Pareto set '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
unsigned int c = card_C(_set1, _set2);
unsigned int w1 = card_W(_set1, _set2);
unsigned int n1 = card_N(_set1, _set2);
unsigned int w2 = card_W(_set2, _set1);
unsigned int n2 = card_N(_set2, _set1);
return (double) (c / 2.0 + w1 + n1) / (c + w1 + n1 + w2 + n2);
}
private:
/** Functor to compare two objective vectors according to Pareto dominance relation */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/**
* Returns the number of solutions both in '_set1' and '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned int card_C (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
unsigned int c=0;
for (unsigned int i=0; i<_set1.size(); i++)
for (unsigned int j=0; j<_set2.size(); j++)
if (_set1[i] == _set2[j])
{
c++;
break;
}
return c;
}
/**
* Returns the number of solutions in '_set1' dominating at least one solution of '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned int card_W (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
unsigned int w=0;
for (unsigned int i=0; i<_set1.size(); i++)
for (unsigned int j=0; j<_set2.size(); j++)
if (paretoComparator(_set2[j], _set1[i]))
{
w++;
break;
}
return w;
}
/**
* Returns the number of solutions in '_set1' having no relation of dominance with those from '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned int card_N (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
unsigned int n=0;
for (unsigned int i=0; i<_set1.size(); i++)
{
bool domin_rel = false;
for (unsigned int j=0; j<_set2.size(); j++)
if ( (paretoComparator(_set2[j], _set1[i])) || (paretoComparator(_set1[i], _set2[j])) )
{
domin_rel = true;
break;
}
if (! domin_rel)
n++;
}
return n;
}
};
#endif /*MOEOCONTRIBUTIONMETRIC_H_*/

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/*
* <moeoDistanceMetric.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEODISTANCEMETRIC_H_
#define MOEODISTANCEMETRIC_H_
#include <cmath>
#include <distance/moeoObjSpaceDistance.h>
/**
Adapter to use Distances as a metric
*/
template < class MOEOT>
class moeoDistanceMetric : public moeoUnaryMetric < typename MOEOT::ObjectiveVector , typename MOEOT::Fitness >
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
/**
constructor with a normalizer
@param _distance the distance
@param _referencePoint the point from which we evaluate the distance
@param _normalizer the normalizer
*/
moeoDistanceMetric(moeoObjSpaceDistance<MOEOT> &_distance, const ObjectiveVector &_referencePoint,moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): distance(_distance), reference(_referencePoint),normalizer(_normalizer){}
/**
constructor with a dummy normalizer
@param _distance the distance
@param _referencePoint the point from which we evaluate the distance
*/
moeoDistanceMetric(moeoObjSpaceDistance<MOEOT> &_distance, const ObjectiveVector &_referencePoint): distance(_distance), reference(_referencePoint),normalizer(defaultNormalizer){}
/**
fonction which apply the metric to calculate a fitness
@param _obj the point to evaluate
@return the fitness conrresponding to the distance
*/
Fitness operator()(ObjectiveVector _obj){
return distance(normalizer(reference), normalizer(_obj));
}
private:
moeoObjSpaceDistance<MOEOT>& distance;
const ObjectiveVector& reference;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
};
#endif

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/*
* <moeoEntropyMetric.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOENTROPYMETRIC_H_
#define MOEOENTROPYMETRIC_H_
#include <vector>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
#include <metric/moeoMetric.h>
/**
* The entropy gives an idea of the diversity of a Pareto set relatively to another
* (Basseur, Seynhaeve, Talbi: 'Design of Multi-objective Evolutionary Algorithms: Application to the Flow-shop Scheduling Problem', in Proc. of the 2002 Congress on Evolutionary Computation, IEEE Press, pp. 1155-1156)
*/
template < class ObjectiveVector >
class moeoEntropyMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
{
public:
/**
* Returns the entropy of the Pareto set '_set1' relatively to the Pareto set '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
// normalization
std::vector< ObjectiveVector > set1 = _set1;
std::vector< ObjectiveVector > set2= _set2;
removeDominated (set1);
removeDominated (set2);
prenormalize (set1);
normalize (set1);
normalize (set2);
// making of PO*
std::vector< ObjectiveVector > star; // rotf :-)
computeUnion (set1, set2, star);
removeDominated (star);
// making of PO1 U PO*
std::vector< ObjectiveVector > union_set1_star; // rotf again ...
computeUnion (set1, star, union_set1_star);
unsigned int C = union_set1_star.size();
float omega=0;
float entropy=0;
for (unsigned int i=0 ; i<C ; i++)
{
unsigned int N_i = howManyInNicheOf (union_set1_star, union_set1_star[i], star.size());
unsigned int n_i = howManyInNicheOf (set1, union_set1_star[i], star.size());
if (n_i > 0)
{
omega += 1.0 / N_i;
entropy += (float) n_i / (N_i * C) * log (((float) n_i / C) / log (2.0));
}
}
entropy /= - log (omega);
entropy *= log (2.0);
return entropy;
}
private:
/** vector of min values */
std::vector<double> vect_min_val;
/** vector of max values */
std::vector<double> vect_max_val;
/** Functor to compare two objective vectors according to Pareto dominance relation */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
/**
* Removes the dominated individuals contained in _f
* @param _f a Pareto set
*/
void removeDominated(std::vector < ObjectiveVector > & _f)
{
for (unsigned int i=0 ; i<_f.size(); i++)
{
bool dom = false;
for (unsigned int j=0; j<_f.size(); j++)
if (i != j && paretoComparator(_f[i],_f[j]))
{
dom = true;
break;
}
if (dom)
{
_f[i] = _f.back();
_f.pop_back();
i--;
}
}
}
/**
* Prenormalization
* @param _f a Pareto set
*/
void prenormalize (const std::vector< ObjectiveVector > & _f)
{
vect_min_val.clear();
vect_max_val.clear();
for (unsigned int i=0 ; i<ObjectiveVector::nObjectives(); i++)
{
float min_val = _f.front()[i], max_val = min_val;
for (unsigned int j=1 ; j<_f.size(); j++)
{
if (_f[j][i] < min_val)
min_val = _f[j][i];
if (_f[j][i]>max_val)
max_val = _f[j][i];
}
vect_min_val.push_back(min_val);
vect_max_val.push_back (max_val);
}
}
/**
* Normalization
* @param _f a Pareto set
*/
void normalize (std::vector< ObjectiveVector > & _f)
{
for (unsigned int i=0 ; i<ObjectiveVector::nObjectives(); i++)
for (unsigned int j=0; j<_f.size(); j++)
_f[j][i] = (_f[j][i] - vect_min_val[i]) / (vect_max_val[i] - vect_min_val[i]);
}
/**
* Computation of the union of _f1 and _f2 in _f
* @param _f1 the first Pareto set
* @param _f2 the second Pareto set
* @param _f the final Pareto set
*/
void computeUnion(const std::vector< ObjectiveVector > & _f1, const std::vector< ObjectiveVector > & _f2, std::vector< ObjectiveVector > & _f)
{
_f = _f1 ;
for (unsigned int i=0; i<_f2.size(); i++)
{
bool b = false;
for (unsigned int j=0; j<_f1.size(); j ++)
if (_f1[j] == _f2[i])
{
b = true;
break;
}
if (! b)
_f.push_back(_f2[i]);
}
}
/**
* How many in niche
*/
unsigned int howManyInNicheOf (const std::vector< ObjectiveVector > & _f, const ObjectiveVector & _s, unsigned int _size)
{
unsigned int n=0;
for (unsigned int i=0 ; i<_f.size(); i++)
{
if (euclidianDistance(_f[i], _s) < (_s.size() / (double) _size))
n++;
}
return n;
}
/**
* Euclidian distance
*/
double euclidianDistance (const ObjectiveVector & _set1, const ObjectiveVector & _to, unsigned int _deg = 2)
{
double dist=0;
for (unsigned int i=0; i<_set1.size(); i++)
dist += pow(fabs(_set1[i] - _to[i]), (int)_deg);
return pow(dist, 1.0 / _deg);
}
};
#endif /*MOEOENTROPYMETRIC_H_*/

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/*
* <moeoHyperVolumeDifferenceMetric.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOHYPERVOLUMEDIFFERENCEMETRIC_H_
#define MOEOHYPERVOLUMEDIFFERENCEMETRIC_H_
#include <metric/moeoMetric.h>
#include <metric/moeoHyperVolumeMetric.h>
/**
* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
*/
template < class ObjectiveVector >
class moeoHyperVolumeDifferenceMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
{
public:
/**
* Constructor with a coefficient (rho)
* @param _normalize allow to normalize data (default true)
* @param _rho coefficient to determine the reference point.
*/
moeoHyperVolumeDifferenceMetric(bool _normalize=true, double _rho=1.1): normalize(_normalize), rho(_rho), ref_point(NULL){
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* Constructor with a reference point
* @param _normalize allow to normalize data (default true)
* @param _ref_point the reference point
*/
moeoHyperVolumeDifferenceMetric(bool _normalize=true, ObjectiveVector& _ref_point=NULL): normalize(_normalize), rho(0.0), ref_point(_ref_point){
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* calculates and returns the HyperVolume value of a pareto front
* @param _set1 the vector contains all objective Vector of the first pareto front
* @param _set2 the vector contains all objective Vector of the second pareto front
*/
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
double hypervolume_set1;
double hypervolume_set2;
if(rho >= 1.0){
//determine bounds
setup(_set1, _set2);
//determine reference point
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++){
if(normalize){
if (ObjectiveVector::Traits::minimizing(i))
ref_point[i]= rho;
else
ref_point[i]= 1-rho;
}
else{
if (ObjectiveVector::Traits::minimizing(i))
ref_point[i]= bounds[i].maximum() * rho;
else
ref_point[i]= bounds[i].maximum() * (1-rho);
}
}
//if no normalization, reinit bounds to O..1 for
if(!normalize)
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
bounds[i] = eoRealInterval(0,1);
}
else if(normalize)
setup(_set1, _set2);
moeoHyperVolumeMetric <ObjectiveVector> unaryMetric(ref_point, bounds);
hypervolume_set1 = unaryMetric(_set1);
hypervolume_set2 = unaryMetric(_set2);
return hypervolume_set1 - hypervolume_set2;
}
/**
* getter on bounds
* @return bounds
*/
std::vector < eoRealInterval > getBounds(){
return bounds;
}
/**
* method caclulate bounds for the normalization
* @param _set1 the vector contains all objective Vector of the first pareto front
* @param _set2 the vector contains all objective Vector of the second pareto front
*/
void setup(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2){
if(_set1.size() < 1 || _set2.size() < 1)
throw("Error in moeoHyperVolumeUnaryMetric::setup -> argument1: vector<ObjectiveVector> size must be greater than 0");
else{
double min, max;
unsigned int nbObj=ObjectiveVector::Traits::nObjectives();
bounds.resize(nbObj);
for (unsigned int i=0; i<nbObj; i++){
min = _set1[0][i];
max = _set1[0][i];
for (unsigned int j=1; j<_set1.size(); j++){
min = std::min(min, _set1[j][i]);
max = std::max(max, _set1[j][i]);
}
for (unsigned int j=0; j<_set2.size(); j++){
min = std::min(min, _set2[j][i]);
max = std::max(max, _set2[j][i]);
}
bounds[i] = eoRealInterval(min, max);
}
}
}
private:
/*boolean indicates if data must be normalized or not*/
bool normalize;
double rho;
/*vectors contains bounds for normalization*/
std::vector < eoRealInterval > bounds;
ObjectiveVector ref_point;
};
#endif /*MOEOHYPERVOLUMEMETRIC_H_*/

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/*
* <moeoHyperVolumeMetric.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Jeremie Humeau
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOHYPERVOLUMEMETRIC_H_
#define MOEOHYPERVOLUMEMETRIC_H_
#include <metric/moeoMetric.h>
/**
* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
*/
template < class ObjectiveVector >
class moeoHyperVolumeMetric : public moeoVectorUnaryMetric < ObjectiveVector , double >
{
public:
/**
* Constructor with a coefficient (rho)
* @param _normalize allow to normalize data (default true)
* @param _rho coefficient to determine the reference point.
*/
moeoHyperVolumeMetric(bool _normalize=true, double _rho=1.1): normalize(_normalize), rho(_rho), ref_point(NULL){
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* Constructor with a reference point
* @param _normalize allow to normalize data (default true)
* @param _ref_point the reference point
*/
moeoHyperVolumeMetric(bool _normalize=true, ObjectiveVector& _ref_point=NULL): normalize(_normalize), rho(0.0), ref_point(_ref_point){
bounds.resize(ObjectiveVector::Traits::nObjectives());
// initialize bounds in case someone does not want to use them
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
{
bounds[i] = eoRealInterval(0,1);
}
}
/**
* Constructor with a reference point
* @param _ref_point the reference point
* @param _bounds bounds value
*/
moeoHyperVolumeMetric(ObjectiveVector& _ref_point=NULL, std::vector < eoRealInterval >& _bounds=NULL): normalize(false), rho(0.0), ref_point(_ref_point), bounds(_bounds){}
/**
* calculates and returns the HyperVolume value of a pareto front
* @param _set the vector contains all objective Vector of pareto front
*/
double operator()(const std::vector < ObjectiveVector > & _set)
{
std::vector < std::vector<double> > front;
//determine the reference point if a coefficient is passed in paremeter
if(rho >= 1.0){
//determine bounds
setup(_set);
//determine reference point
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++){
if(normalize){
if (ObjectiveVector::Traits::minimizing(i))
ref_point[i]= rho;
else
ref_point[i]= 1-rho;
}
else{
if (ObjectiveVector::Traits::minimizing(i))
ref_point[i]= bounds[i].maximum() * rho;
else
ref_point[i]= bounds[i].maximum() * (1-rho);
}
}
//if no normalization, reinit bounds to O..1 for
if(!normalize)
for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
bounds[i] = eoRealInterval(0,1);
}
else if(normalize)
setup(_set);
front.resize(_set.size());
for(unsigned int i=0; i < _set.size(); i++){
front[i].resize(ObjectiveVector::Traits::nObjectives());
for (unsigned int j=0; j<ObjectiveVector::Traits::nObjectives(); j++){
if (ObjectiveVector::Traits::minimizing(j)){
front[i][j]=ref_point[j] - ((_set[i][j] - bounds[j].minimum()) /bounds[j].range());
}
else{
front[i][j]=((_set[i][j] - bounds[j].minimum()) /bounds[j].range()) - ref_point[j];
}
}
}
return calc_hypervolume(front, front.size(),ObjectiveVector::Traits::nObjectives());
}
/**
* getter on bounds
* @return bounds
*/
std::vector < eoRealInterval > getBounds(){
return bounds;
}
/**
* method caclulate bounds for the normalization
* @param _set the vector of objective vectors
*/
void setup(const std::vector < ObjectiveVector > & _set){
if(_set.size() < 1)
throw("Error in moeoHyperVolumeUnaryMetric::setup -> argument1: vector<ObjectiveVector> size must be greater than 0");
else{
double min, max;
unsigned int nbObj=ObjectiveVector::Traits::nObjectives();
bounds.resize(nbObj);
for (unsigned int i=0; i<nbObj; i++){
min = _set[0][i];
max = _set[0][i];
for (unsigned int j=1; j<_set.size(); j++){
min = std::min(min, _set[j][i]);
max = std::max(max, _set[j][i]);
}
bounds[i] = eoRealInterval(min, max);
}
}
}
/**
* method calculate if a point dominates another one regarding the x first objective
* @param _point1 a vector of distances
* @param _point2 a vector of distances
* @param _no_objectives a number of objectives
* @return true if '_point1' dominates '_point2' with respect to the first 'no_objectives' objectives
*/
bool dominates(std::vector<double>& _point1, std::vector<double>& _point2, unsigned int _no_objectives){
unsigned int i;
bool better_in_any_objective = false;
bool worse_in_any_objective = false;
for(i=0; i < _no_objectives && !worse_in_any_objective; i++){
if(_point1[i] > _point2[i])
better_in_any_objective = true;
else if(_point1[i] < _point2[i])
worse_in_any_objective = true;
}
//_point1 dominates _point2 if it is better than _point2 on a objective and if it is never worse in any other objectives
return(!worse_in_any_objective && better_in_any_objective);
}
/**
* swap two elements of a vector
* @param _front the vector
* @param _i index of the first element to swap
* @param _j index of the second element to swap
*/
void swap(std::vector< std::vector<double> >& _front, unsigned int _i, unsigned int _j){
std::vector<double> tmp;
tmp=_front[_i];
_front[_i]=_front[_j];
_front[_j]=tmp;
//another way (don't work on visual studio)
// _front.push_back(_front[_i]);
// _front[_i]= _front[_j];
// _front[_j]=_front.back();
// _front.pop_back();
}
/**
* collect all nondominated points regarding the first '_no_objectives' objectives (dominated points are stored at the end of _front)
* @param _front the front
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
* @param _no_objectives the number of objective to consider
* @return the index of the last nondominated point
*/
unsigned int filter_nondominated_set( std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _no_objectives){
unsigned int i,j,n;
n=_no_points;
i=0;
while(i < n){
j=i+1;
while(j < n){
//if a point 'A' (index i) dominates another one 'B' (index j), swap 'B' with the point of index n-1
if( dominates(_front[i], _front[j], _no_objectives)){
n--;
swap(_front, j, n);
}
//if a point 'B'(index j) dominates another one 'A' (index i), swap 'A' with the point of index n-1
else if( dominates(_front[j], _front[i], _no_objectives)){
n--;
swap(_front, i, n);
i--;
break;
}
else
j++;
}
i++;
}
return n;
}
/**
* find a minimum value
* @param _front the front
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
* @param _objective the objective to consider
* @return the minimum value regarding dimension '_objective' consider points O to _no_points in '_front'
*/
double surface_unchanged_to(std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _objective){
unsigned int i;
double min, value;
if(_no_points < 1)
throw("Error in moeoHyperVolumeUnaryMetric::surface_unchanged_to -> argument2: _no_points must be greater than 0");
min = _front[0][_objective];
for(i=1; i < _no_points; i++){
value = _front[i][_objective];
if(value < min)
min = value;
}
return min;
}
/**
* remove all points having a value <= 'threshold' regarding the dimension 'objective', only points of index 0 to _no_points are considered.
* points removed are swap at the end of the front.
* @param _front the front
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
* @param _objective the objective to consider
* @param _threshold the threshold
* @return index of the last points of '_front' greater than the threshold
*/
unsigned int reduce_nondominated_set(std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _objective, double _threshold){
unsigned int i,n ;
n=_no_points;
for(i=0; i < n ; i++)
if(_front[i][_objective] <= _threshold){
n--;
swap(_front, i, n);
i--; //ATTENTION I had this to reconsider the point copied to index i (it can be useless verify algorythimic in calc_hypervolume)
}
return n;
}
/**
* calculate hypervolume of the front (data are redrafted before)
* @param _front the front
* @param _no_points the number of points of the front to consider (index 0 to _no_points are considered)
* @param _no_objectives the number of objective to consider
* @return the hypervolume of the front
*/
double calc_hypervolume(std::vector < std::vector< double > >& _front, unsigned int _no_points, unsigned int _no_objectives){
unsigned int n;
double volume, distance;
volume=0;
distance=0;
n=_no_points;
while(n > 0){
unsigned int no_nondominated_points;
double temp_vol, temp_dist;
//get back the index of non dominated points of the front regarding the first "_nb_objectives - 1" objectives
//So one dimension is not determinante for the dominance
no_nondominated_points = filter_nondominated_set(_front, n, _no_objectives - 1);
temp_vol=0;
//if there are less than 3 objectifs take the fisrt objectif of the first point of front to begin computation of hypervolume
if(_no_objectives < 3){
if(_no_objectives < 1)
throw("Error in moeoHyperVolumeUnaryMetric::calc_hypervolume -> argument3: _no_objectives must be greater than 0");
temp_vol=_front[0][0];
}
//else if there at least 3 objectives, a recursive computation of hypervolume starts with _no_objectives -1 on the filter_nondominated_set calculating previously.
else
temp_vol= calc_hypervolume(_front, no_nondominated_points, _no_objectives - 1);
//search the next minimum distance on the dimension _no_objectives -1
temp_dist = surface_unchanged_to(_front, n, _no_objectives - 1);
//calculate the area
volume+= temp_vol * (temp_dist - distance);
//change distance to have the good lenght on next step
distance= temp_dist;
//remove all points <= distance on dimension _no_objectives
n=reduce_nondominated_set(_front, n , _no_objectives - 1, distance);
}
return volume;
}
private:
/*boolean indicates if data must be normalized or not*/
bool normalize;
double rho;
ObjectiveVector ref_point;
/*vectors contains bounds for normalization*/
std::vector < eoRealInterval > bounds;
};
#endif /*MOEOHYPERVOLUMEMETRIC_H_*/

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