modif cmake configuration
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1277 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
jhumeau
parent
1432128e88
commit
350bdfc7de
1261 changed files with 144616 additions and 0 deletions
47
branches/cmakemodif/paradiseo-moeo/src/algo/moeoAlgo.h
Normal file
47
branches/cmakemodif/paradiseo-moeo/src/algo/moeoAlgo.h
Normal file
|
|
@ -0,0 +1,47 @@
|
|||
/*
|
||||
* <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_*/
|
||||
92
branches/cmakemodif/paradiseo-moeo/src/algo/moeoCombinedLS.h
Normal file
92
branches/cmakemodif/paradiseo-moeo/src/algo/moeoCombinedLS.h
Normal file
|
|
@ -0,0 +1,92 @@
|
|||
/*
|
||||
* <moeoCombinedLS.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 MOEOCOMBINEDLS_H_
|
||||
#define MOEOCOMBINEDLS_H_
|
||||
|
||||
#include <vector>
|
||||
#include <algo/moeoLS.h>
|
||||
#include <archive/moeoArchive.h>
|
||||
|
||||
/**
|
||||
* This class allows to embed a set of local searches that are sequentially applied,
|
||||
* and so working and updating the same archive of non-dominated solutions.
|
||||
*/
|
||||
template < class MOEOT, class Type >
|
||||
class moeoCombinedLS : public moeoLS < MOEOT, Type >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _first_mols the first multi-objective local search to add
|
||||
*/
|
||||
moeoCombinedLS(moeoLS < MOEOT, Type > & _first_mols)
|
||||
{
|
||||
combinedLS.push_back (& _first_mols);
|
||||
}
|
||||
|
||||
/**
|
||||
* Adds a new local search to combine
|
||||
* @param _mols the multi-objective local search to add
|
||||
*/
|
||||
void add(moeoLS < MOEOT, Type > & _mols)
|
||||
{
|
||||
combinedLS.push_back(& _mols);
|
||||
}
|
||||
|
||||
/**
|
||||
* Gives a new solution in order to explore the neigborhood.
|
||||
* The new non-dominated solutions are added to the archive
|
||||
* @param _type the object to apply the local search to
|
||||
* @param _arch the archive of non-dominated solutions
|
||||
*/
|
||||
void operator () (Type _type, moeoArchive < MOEOT > & _arch)
|
||||
{
|
||||
for (unsigned int i=0; i<combinedLS.size(); i++)
|
||||
combinedLS[i] -> operator()(_type, _arch);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the vector that contains the combined LS */
|
||||
std::vector< moeoLS < MOEOT, Type > * > combinedLS;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOCOMBINEDLS_H_*/
|
||||
51
branches/cmakemodif/paradiseo-moeo/src/algo/moeoEA.h
Normal file
51
branches/cmakemodif/paradiseo-moeo/src/algo/moeoEA.h
Normal file
|
|
@ -0,0 +1,51 @@
|
|||
/*
|
||||
* <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 <eoAlgo.h>
|
||||
#include <algo/moeoAlgo.h>
|
||||
|
||||
/**
|
||||
* Abstract class for multi-objective evolutionary algorithms.
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoEA : public moeoAlgo, public eoAlgo < MOEOT >
|
||||
{};
|
||||
|
||||
#endif /*MOEOEA_H_*/
|
||||
217
branches/cmakemodif/paradiseo-moeo/src/algo/moeoEasyEA.h
Executable file
217
branches/cmakemodif/paradiseo-moeo/src/algo/moeoEasyEA.h
Executable file
|
|
@ -0,0 +1,217 @@
|
|||
/*
|
||||
* <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 _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, 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_*/
|
||||
101
branches/cmakemodif/paradiseo-moeo/src/algo/moeoHybridLS.h
Normal file
101
branches/cmakemodif/paradiseo-moeo/src/algo/moeoHybridLS.h
Normal file
|
|
@ -0,0 +1,101 @@
|
|||
/*
|
||||
* <moeoHybridLS.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 MOEOHYBRIDLS_H_
|
||||
#define MOEOHYBRIDLS_H_
|
||||
|
||||
#include <eoContinue.h>
|
||||
#include <eoPop.h>
|
||||
#include <eoSelect.h>
|
||||
#include <utils/eoUpdater.h>
|
||||
#include <algo/moeoLS.h>
|
||||
#include <archive/moeoArchive.h>
|
||||
|
||||
/**
|
||||
* This class allows to apply a multi-objective local search to a number of selected individuals contained in the archive
|
||||
* at every generation until a stopping criteria is verified.
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoHybridLS : public eoUpdater
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _term stopping criteria
|
||||
* @param _select selector
|
||||
* @param _mols a multi-objective local search
|
||||
* @param _arch the archive
|
||||
*/
|
||||
moeoHybridLS (eoContinue < MOEOT > & _term, eoSelect < MOEOT > & _select, moeoLS < MOEOT, MOEOT > & _mols, moeoArchive < MOEOT > & _arch) :
|
||||
term(_term), select(_select), mols(_mols), arch(_arch)
|
||||
{}
|
||||
|
||||
|
||||
/**
|
||||
* Applies the multi-objective local search to selected individuals contained in the archive if the stopping criteria is not verified
|
||||
*/
|
||||
void operator () ()
|
||||
{
|
||||
if (! term (arch))
|
||||
{
|
||||
// selection of solutions
|
||||
eoPop < MOEOT > selectedSolutions;
|
||||
select(arch, selectedSolutions);
|
||||
// apply the local search to every selected solution
|
||||
for (unsigned int i=0; i<selectedSolutions.size(); i++)
|
||||
{
|
||||
mols(selectedSolutions[i], arch);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** stopping criteria */
|
||||
eoContinue < MOEOT > & term;
|
||||
/** selector */
|
||||
eoSelect < MOEOT > & select;
|
||||
/** multi-objective local search */
|
||||
moeoLS < MOEOT, MOEOT > & mols;
|
||||
/** archive */
|
||||
moeoArchive < MOEOT > & arch;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOHYBRIDLS_H_*/
|
||||
225
branches/cmakemodif/paradiseo-moeo/src/algo/moeoIBEA.h
Normal file
225
branches/cmakemodif/paradiseo-moeo/src/algo/moeoIBEA.h
Normal file
|
|
@ -0,0 +1,225 @@
|
|||
/*
|
||||
* <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_*/
|
||||
519
branches/cmakemodif/paradiseo-moeo/src/algo/moeoIBMOLS.h
Executable file
519
branches/cmakemodif/paradiseo-moeo/src/algo/moeoIBMOLS.h
Executable file
|
|
@ -0,0 +1,519 @@
|
|||
/*
|
||||
* <moeoIBMOLS.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 MOEOIBMOLS_H_
|
||||
#define MOEOIBMOLS_H_
|
||||
|
||||
#include <math.h>
|
||||
#include <eoContinue.h>
|
||||
#include <eoEvalFunc.h>
|
||||
#include <eoPop.h>
|
||||
#include <moMove.h>
|
||||
#include <moMoveInit.h>
|
||||
#include <moNextMove.h>
|
||||
#include <algo/moeoLS.h>
|
||||
#include <archive/moeoArchive.h>
|
||||
#include <fitness/moeoBinaryIndicatorBasedFitnessAssignment.h>
|
||||
#include <move/moeoMoveIncrEval.h>
|
||||
|
||||
/**
|
||||
* Indicator-Based Multi-Objective Local Search (IBMOLS) as described in
|
||||
* Basseur M., Burke K. : "Indicator-Based Multi-Objective Local Search" (2007).
|
||||
*/
|
||||
template < class MOEOT, class Move >
|
||||
class moeoIBMOLS : public moeoLS < MOEOT, eoPop < MOEOT > & >
|
||||
{
|
||||
public:
|
||||
|
||||
/** The type of objective vector */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
||||
|
||||
/**
|
||||
* Ctor.
|
||||
* @param _moveInit the move initializer
|
||||
* @param _nextMove the neighborhood explorer
|
||||
* @param _eval the full evaluation
|
||||
* @param _moveIncrEval the incremental evaluation
|
||||
* @param _fitnessAssignment the fitness assignment strategy
|
||||
* @param _continuator the stopping criteria
|
||||
*/
|
||||
moeoIBMOLS(
|
||||
moMoveInit < Move > & _moveInit,
|
||||
moNextMove < Move > & _nextMove,
|
||||
eoEvalFunc < MOEOT > & _eval,
|
||||
moeoMoveIncrEval < Move > & _moveIncrEval,
|
||||
moeoBinaryIndicatorBasedFitnessAssignment < MOEOT > & _fitnessAssignment,
|
||||
eoContinue < MOEOT > & _continuator
|
||||
) :
|
||||
moveInit(_moveInit),
|
||||
nextMove(_nextMove),
|
||||
eval(_eval),
|
||||
moveIncrEval(_moveIncrEval),
|
||||
fitnessAssignment (_fitnessAssignment),
|
||||
continuator (_continuator)
|
||||
{}
|
||||
|
||||
|
||||
/**
|
||||
* Apply the local search until a local archive does not change or
|
||||
* another stopping criteria is met and update the archive _arch with new non-dominated solutions.
|
||||
* @param _pop the initial population
|
||||
* @param _arch the (updated) archive
|
||||
*/
|
||||
void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
|
||||
{
|
||||
// evaluation of the objective values
|
||||
/*
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
eval(_pop[i]);
|
||||
}
|
||||
*/
|
||||
// fitness assignment for the whole population
|
||||
fitnessAssignment(_pop);
|
||||
// creation of a local archive
|
||||
moeoArchive < MOEOT > archive;
|
||||
// creation of another local archive (for the stopping criteria)
|
||||
moeoArchive < MOEOT > previousArchive;
|
||||
// update the archive with the initial population
|
||||
archive.update(_pop);
|
||||
do
|
||||
{
|
||||
previousArchive.update(archive);
|
||||
oneStep(_pop);
|
||||
archive.update(_pop);
|
||||
}
|
||||
while ( (! archive.equals(previousArchive)) && (continuator(_arch)) );
|
||||
_arch.update(archive);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the move initializer */
|
||||
moMoveInit < Move > & moveInit;
|
||||
/** the neighborhood explorer */
|
||||
moNextMove < Move > & nextMove;
|
||||
/** the full evaluation */
|
||||
eoEvalFunc < MOEOT > & eval;
|
||||
/** the incremental evaluation */
|
||||
moeoMoveIncrEval < Move > & moveIncrEval;
|
||||
/** the fitness assignment strategy */
|
||||
moeoBinaryIndicatorBasedFitnessAssignment < MOEOT > & fitnessAssignment;
|
||||
/** the stopping criteria */
|
||||
eoContinue < MOEOT > & continuator;
|
||||
|
||||
|
||||
/**
|
||||
* Apply one step of the local search to the population _pop
|
||||
* @param _pop the population
|
||||
*/
|
||||
void oneStep (eoPop < MOEOT > & _pop)
|
||||
{
|
||||
// the move
|
||||
Move move;
|
||||
// the objective vector and the fitness of the current solution
|
||||
ObjectiveVector x_objVec;
|
||||
double x_fitness;
|
||||
// the index, the objective vector and the fitness of the worst solution in the population (-1 implies that the worst is the newly created one)
|
||||
int worst_idx;
|
||||
ObjectiveVector worst_objVec;
|
||||
double worst_fitness;
|
||||
////////////////////////////////////////////
|
||||
// the indexes and the objective vectors of the extreme non-dominated points
|
||||
int ext_0_idx, ext_1_idx;
|
||||
ObjectiveVector ext_0_objVec, ext_1_objVec;
|
||||
unsigned int ind;
|
||||
////////////////////////////////////////////
|
||||
// the index of the current solution to be explored
|
||||
unsigned int i=0;
|
||||
// initilization of the move for the first individual
|
||||
moveInit(move, _pop[i]);
|
||||
while (i<_pop.size() && continuator(_pop))
|
||||
{
|
||||
// x = one neigbour of pop[i]
|
||||
// evaluate x in the objective space
|
||||
x_objVec = moveIncrEval(move, _pop[i]);
|
||||
// update every fitness values to take x into account and compute the fitness of x
|
||||
x_fitness = fitnessAssignment.updateByAdding(_pop, x_objVec);
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// extreme solutions (min only!)
|
||||
ext_0_idx = -1;
|
||||
ext_0_objVec = x_objVec;
|
||||
ext_1_idx = -1;
|
||||
ext_1_objVec = x_objVec;
|
||||
for (unsigned int k=0; k<_pop.size(); k++)
|
||||
{
|
||||
// ext_0
|
||||
if (_pop[k].objectiveVector()[0] < ext_0_objVec[0])
|
||||
{
|
||||
ext_0_idx = k;
|
||||
ext_0_objVec = _pop[k].objectiveVector();
|
||||
}
|
||||
else if ( (_pop[k].objectiveVector()[0] == ext_0_objVec[0]) && (_pop[k].objectiveVector()[1] < ext_0_objVec[1]) )
|
||||
{
|
||||
ext_0_idx = k;
|
||||
ext_0_objVec = _pop[k].objectiveVector();
|
||||
}
|
||||
// ext_1
|
||||
else if (_pop[k].objectiveVector()[1] < ext_1_objVec[1])
|
||||
{
|
||||
ext_1_idx = k;
|
||||
ext_1_objVec = _pop[k].objectiveVector();
|
||||
}
|
||||
else if ( (_pop[k].objectiveVector()[1] == ext_1_objVec[1]) && (_pop[k].objectiveVector()[0] < ext_1_objVec[0]) )
|
||||
{
|
||||
ext_1_idx = k;
|
||||
ext_1_objVec = _pop[k].objectiveVector();
|
||||
}
|
||||
}
|
||||
// worst init
|
||||
if (ext_0_idx == -1)
|
||||
{
|
||||
ind = 0;
|
||||
while (ind == ext_1_idx)
|
||||
{
|
||||
ind++;
|
||||
}
|
||||
worst_idx = ind;
|
||||
worst_objVec = _pop[ind].objectiveVector();
|
||||
worst_fitness = _pop[ind].fitness();
|
||||
}
|
||||
else if (ext_1_idx == -1)
|
||||
{
|
||||
ind = 0;
|
||||
while (ind == ext_0_idx)
|
||||
{
|
||||
ind++;
|
||||
}
|
||||
worst_idx = ind;
|
||||
worst_objVec = _pop[ind].objectiveVector();
|
||||
worst_fitness = _pop[ind].fitness();
|
||||
}
|
||||
else
|
||||
{
|
||||
worst_idx = -1;
|
||||
worst_objVec = x_objVec;
|
||||
worst_fitness = x_fitness;
|
||||
}
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
// who is the worst ?
|
||||
for (unsigned int j=0; j<_pop.size(); j++)
|
||||
{
|
||||
if ( (j!=ext_0_idx) && (j!=ext_1_idx) )
|
||||
{
|
||||
if (_pop[j].fitness() < worst_fitness)
|
||||
{
|
||||
worst_idx = j;
|
||||
worst_objVec = _pop[j].objectiveVector();
|
||||
worst_fitness = _pop[j].fitness();
|
||||
}
|
||||
}
|
||||
}
|
||||
// if the worst solution is the new one
|
||||
if (worst_idx == -1)
|
||||
{
|
||||
// if all its neighbours have been explored,
|
||||
// let's explore the neighborhoud of the next individual
|
||||
if (! nextMove(move, _pop[i]))
|
||||
{
|
||||
i++;
|
||||
if (i<_pop.size())
|
||||
{
|
||||
// initilization of the move for the next individual
|
||||
moveInit(move, _pop[i]);
|
||||
}
|
||||
}
|
||||
}
|
||||
// if the worst solution is located before _pop[i]
|
||||
else if (worst_idx <= i)
|
||||
{
|
||||
// the new solution takes place insteed of _pop[worst_idx]
|
||||
_pop[worst_idx] = _pop[i];
|
||||
move(_pop[worst_idx]);
|
||||
_pop[worst_idx].objectiveVector(x_objVec);
|
||||
_pop[worst_idx].fitness(x_fitness);
|
||||
// let's explore the neighborhoud of the next individual
|
||||
i++;
|
||||
if (i<_pop.size())
|
||||
{
|
||||
// initilization of the move for the next individual
|
||||
moveInit(move, _pop[i]);
|
||||
}
|
||||
}
|
||||
// if the worst solution is located after _pop[i]
|
||||
else if (worst_idx > i)
|
||||
{
|
||||
// the new solution takes place insteed of _pop[i+1] and _pop[worst_idx] is deleted
|
||||
_pop[worst_idx] = _pop[i+1];
|
||||
_pop[i+1] = _pop[i];
|
||||
move(_pop[i+1]);
|
||||
_pop[i+1].objectiveVector(x_objVec);
|
||||
_pop[i+1].fitness(x_fitness);
|
||||
// let's explore the neighborhoud of the individual _pop[i+2]
|
||||
i += 2;
|
||||
if (i<_pop.size())
|
||||
{
|
||||
// initilization of the move for the next individual
|
||||
moveInit(move, _pop[i]);
|
||||
}
|
||||
}
|
||||
// update fitness values
|
||||
fitnessAssignment.updateByDeleting(_pop, worst_objVec);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
// INUTILE !!!!
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
/**
|
||||
* Apply one step of the local search to the population _pop
|
||||
* @param _pop the population
|
||||
*/
|
||||
void new_oneStep (eoPop < MOEOT > & _pop)
|
||||
{
|
||||
// the move
|
||||
Move move;
|
||||
// the objective vector and the fitness of the current solution
|
||||
ObjectiveVector x_objVec;
|
||||
double x_fitness;
|
||||
// the index, the objective vector and the fitness of the worst solution in the population (-1 implies that the worst is the newly created one)
|
||||
int worst_idx;
|
||||
ObjectiveVector worst_objVec;
|
||||
double worst_fitness;
|
||||
////////////////////////////////////////////
|
||||
// the index of the extreme non-dominated points
|
||||
int ext_0_idx, ext_1_idx;
|
||||
unsigned int ind;
|
||||
////////////////////////////////////////////
|
||||
// the index current of the current solution to be explored
|
||||
unsigned int i=0;
|
||||
// initilization of the move for the first individual
|
||||
moveInit(move, _pop[i]);
|
||||
while (i<_pop.size() && continuator(_pop))
|
||||
{
|
||||
// x = one neigbour of pop[i]
|
||||
// evaluate x in the objective space
|
||||
x_objVec = moveIncrEval(move, _pop[i]);
|
||||
// update every fitness values to take x into account and compute the fitness of x
|
||||
x_fitness = fitnessAssignment.updateByAdding(_pop, x_objVec);
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// extremes solutions
|
||||
OneObjectiveComparator comp0(0);
|
||||
ext_0_idx = std::min_element(_pop.begin(), _pop.end(), comp0) - _pop.begin();
|
||||
OneObjectiveComparator comp1(1);
|
||||
ext_1_idx = std::min_element(_pop.begin(), _pop.end(), comp1) - _pop.begin();
|
||||
// new = extreme ?
|
||||
if (x_objVec[0] < _pop[ext_0_idx].objectiveVector()[0])
|
||||
{
|
||||
ext_0_idx = -1;
|
||||
}
|
||||
else if ( (x_objVec[0] == _pop[ext_0_idx].objectiveVector()[0]) && (x_objVec[1] < _pop[ext_0_idx].objectiveVector()[1]) )
|
||||
{
|
||||
ext_0_idx = -1;
|
||||
}
|
||||
else if (x_objVec[1] < _pop[ext_1_idx].objectiveVector()[1])
|
||||
{
|
||||
ext_1_idx = -1;
|
||||
}
|
||||
else if ( (x_objVec[1] == _pop[ext_1_idx].objectiveVector()[1]) && (x_objVec[0] < _pop[ext_1_idx].objectiveVector()[0]) )
|
||||
{
|
||||
ext_1_idx = -1;
|
||||
}
|
||||
// worst init
|
||||
if (ext_0_idx == -1)
|
||||
{
|
||||
ind = 0;
|
||||
while (ind == ext_1_idx)
|
||||
{
|
||||
ind++;
|
||||
}
|
||||
worst_idx = ind;
|
||||
worst_objVec = _pop[ind].objectiveVector();
|
||||
worst_fitness = _pop[ind].fitness();
|
||||
}
|
||||
else if (ext_1_idx == -1)
|
||||
{
|
||||
ind = 0;
|
||||
while (ind == ext_0_idx)
|
||||
{
|
||||
ind++;
|
||||
}
|
||||
worst_idx = ind;
|
||||
worst_objVec = _pop[ind].objectiveVector();
|
||||
worst_fitness = _pop[ind].fitness();
|
||||
}
|
||||
else
|
||||
{
|
||||
worst_idx = -1;
|
||||
worst_objVec = x_objVec;
|
||||
worst_fitness = x_fitness;
|
||||
}
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
// who is the worst ?
|
||||
for (unsigned int j=0; j<_pop.size(); j++)
|
||||
{
|
||||
if ( (j!=ext_0_idx) && (j!=ext_1_idx) )
|
||||
{
|
||||
if (_pop[j].fitness() < worst_fitness)
|
||||
{
|
||||
worst_idx = j;
|
||||
worst_objVec = _pop[j].objectiveVector();
|
||||
worst_fitness = _pop[j].fitness();
|
||||
}
|
||||
}
|
||||
}
|
||||
// if the worst solution is the new one
|
||||
if (worst_idx == -1)
|
||||
{
|
||||
// if all its neighbours have been explored,
|
||||
// let's explore the neighborhoud of the next individual
|
||||
if (! nextMove(move, _pop[i]))
|
||||
{
|
||||
i++;
|
||||
if (i<_pop.size())
|
||||
{
|
||||
// initilization of the move for the next individual
|
||||
moveInit(move, _pop[i]);
|
||||
}
|
||||
}
|
||||
}
|
||||
// if the worst solution is located before _pop[i]
|
||||
else if (worst_idx <= i)
|
||||
{
|
||||
// the new solution takes place insteed of _pop[worst_idx]
|
||||
_pop[worst_idx] = _pop[i];
|
||||
move(_pop[worst_idx]);
|
||||
_pop[worst_idx].objectiveVector(x_objVec);
|
||||
_pop[worst_idx].fitness(x_fitness);
|
||||
// let's explore the neighborhoud of the next individual
|
||||
i++;
|
||||
if (i<_pop.size())
|
||||
{
|
||||
// initilization of the move for the next individual
|
||||
moveInit(move, _pop[i]);
|
||||
}
|
||||
}
|
||||
// if the worst solution is located after _pop[i]
|
||||
else if (worst_idx > i)
|
||||
{
|
||||
// the new solution takes place insteed of _pop[i+1] and _pop[worst_idx] is deleted
|
||||
_pop[worst_idx] = _pop[i+1];
|
||||
_pop[i+1] = _pop[i];
|
||||
move(_pop[i+1]);
|
||||
_pop[i+1].objectiveVector(x_objVec);
|
||||
_pop[i+1].fitness(x_fitness);
|
||||
// let's explore the neighborhoud of the individual _pop[i+2]
|
||||
i += 2;
|
||||
if (i<_pop.size())
|
||||
{
|
||||
// initilization of the move for the next individual
|
||||
moveInit(move, _pop[i]);
|
||||
}
|
||||
}
|
||||
// update fitness values
|
||||
fitnessAssignment.updateByDeleting(_pop, worst_objVec);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
class OneObjectiveComparator : public moeoComparator < MOEOT >
|
||||
{
|
||||
public:
|
||||
OneObjectiveComparator(unsigned int _obj) : obj(_obj)
|
||||
{
|
||||
if (obj > MOEOT::ObjectiveVector::nObjectives())
|
||||
{
|
||||
throw std::runtime_error("Problem with the index of objective in OneObjectiveComparator");
|
||||
}
|
||||
}
|
||||
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
{
|
||||
if (_moeo1.objectiveVector()[obj] < _moeo2.objectiveVector()[obj])
|
||||
{
|
||||
return true;
|
||||
}
|
||||
else
|
||||
{
|
||||
return (_moeo1.objectiveVector()[obj] == _moeo2.objectiveVector()[obj]) && (_moeo1.objectiveVector()[(obj+1)%2] < _moeo2.objectiveVector()[(obj+1)%2]);
|
||||
}
|
||||
}
|
||||
private:
|
||||
unsigned int obj;
|
||||
};
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOIBMOLS_H_*/
|
||||
238
branches/cmakemodif/paradiseo-moeo/src/algo/moeoIteratedIBMOLS.h
Executable file
238
branches/cmakemodif/paradiseo-moeo/src/algo/moeoIteratedIBMOLS.h
Executable file
|
|
@ -0,0 +1,238 @@
|
|||
/*
|
||||
* <moeoIteratedIBMOLS.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 MOEOITERATEDIBMOLS_H_
|
||||
#define MOEOITERATEDIBMOLS_H_
|
||||
|
||||
#include <eoContinue.h>
|
||||
#include <eoEvalFunc.h>
|
||||
#include <eoOp.h>
|
||||
#include <eoPop.h>
|
||||
#include <utils/rnd_generators.h>
|
||||
#include <moMove.h>
|
||||
#include <moMoveInit.h>
|
||||
#include <moNextMove.h>
|
||||
#include <algo/moeoIBMOLS.h>
|
||||
#include <algo/moeoLS.h>
|
||||
#include <archive/moeoArchive.h>
|
||||
#include <fitness/moeoBinaryIndicatorBasedFitnessAssignment.h>
|
||||
#include <move/moeoMoveIncrEval.h>
|
||||
|
||||
|
||||
|
||||
//#include <rsCrossQuad.h>
|
||||
|
||||
|
||||
|
||||
/**
|
||||
* Iterated version of IBMOLS as described in
|
||||
* Basseur M., Burke K. : "Indicator-Based Multi-Objective Local Search" (2007).
|
||||
*/
|
||||
template < class MOEOT, class Move >
|
||||
class moeoIteratedIBMOLS : public moeoLS < MOEOT, eoPop < MOEOT > & >
|
||||
{
|
||||
public:
|
||||
|
||||
/** The type of objective vector */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
||||
|
||||
/**
|
||||
* Ctor.
|
||||
* @param _moveInit the move initializer
|
||||
* @param _nextMove the neighborhood explorer
|
||||
* @param _eval the full evaluation
|
||||
* @param _moveIncrEval the incremental evaluation
|
||||
* @param _fitnessAssignment the fitness assignment strategy
|
||||
* @param _continuator the stopping criteria
|
||||
* @param _monOp the monary operator
|
||||
* @param _randomMonOp the random monary operator (or random initializer)
|
||||
* @param _nNoiseIterations the number of iterations to apply the random noise
|
||||
*/
|
||||
moeoIteratedIBMOLS(
|
||||
moMoveInit < Move > & _moveInit,
|
||||
moNextMove < Move > & _nextMove,
|
||||
eoEvalFunc < MOEOT > & _eval,
|
||||
moeoMoveIncrEval < Move > & _moveIncrEval,
|
||||
moeoBinaryIndicatorBasedFitnessAssignment < MOEOT > & _fitnessAssignment,
|
||||
eoContinue < MOEOT > & _continuator,
|
||||
eoMonOp < MOEOT > & _monOp,
|
||||
eoMonOp < MOEOT > & _randomMonOp,
|
||||
unsigned int _nNoiseIterations=1
|
||||
) :
|
||||
ibmols(_moveInit, _nextMove, _eval, _moveIncrEval, _fitnessAssignment, _continuator),
|
||||
eval(_eval),
|
||||
continuator(_continuator),
|
||||
monOp(_monOp),
|
||||
randomMonOp(_randomMonOp),
|
||||
nNoiseIterations(_nNoiseIterations)
|
||||
{}
|
||||
|
||||
|
||||
/**
|
||||
* Apply the local search iteratively until the stopping criteria is met.
|
||||
* @param _pop the initial population
|
||||
* @param _arch the (updated) archive
|
||||
*/
|
||||
void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
|
||||
{
|
||||
_arch.update(_pop);
|
||||
ibmols(_pop, _arch);
|
||||
while (continuator(_arch))
|
||||
{
|
||||
// generate new solutions from the archive
|
||||
generateNewSolutions(_pop, _arch);
|
||||
// apply the local search (the global archive is updated in the sub-function)
|
||||
ibmols(_pop, _arch);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the local search to iterate */
|
||||
moeoIBMOLS < MOEOT, Move > ibmols;
|
||||
/** the full evaluation */
|
||||
eoEvalFunc < MOEOT > & eval;
|
||||
/** the stopping criteria */
|
||||
eoContinue < MOEOT > & continuator;
|
||||
/** the monary operator */
|
||||
eoMonOp < MOEOT > & monOp;
|
||||
/** the random monary operator (or random initializer) */
|
||||
eoMonOp < MOEOT > & randomMonOp;
|
||||
/** the number of iterations to apply the random noise */
|
||||
unsigned int nNoiseIterations;
|
||||
|
||||
|
||||
/**
|
||||
* Creates new population randomly initialized and/or initialized from the archive _arch.
|
||||
* @param _pop the output population
|
||||
* @param _arch the archive
|
||||
*/
|
||||
void generateNewSolutions(eoPop < MOEOT > & _pop, const moeoArchive < MOEOT > & _arch)
|
||||
{
|
||||
// shuffle vector for the random selection of individuals
|
||||
vector<unsigned int> shuffle;
|
||||
shuffle.resize(std::max(_pop.size(), _arch.size()));
|
||||
// init shuffle
|
||||
for (unsigned int i=0; i<shuffle.size(); i++)
|
||||
{
|
||||
shuffle[i] = i;
|
||||
}
|
||||
// randomize shuffle
|
||||
UF_random_generator <unsigned int> gen;
|
||||
std::random_shuffle(shuffle.begin(), shuffle.end(), gen);
|
||||
// start the creation of new solutions
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
if (shuffle[i] < _arch.size()) // the given archive contains the individual i
|
||||
{
|
||||
// add it to the resulting pop
|
||||
_pop[i] = _arch[shuffle[i]];
|
||||
// apply noise
|
||||
for (unsigned int j=0; j<nNoiseIterations; j++)
|
||||
{
|
||||
monOp(_pop[i]);
|
||||
}
|
||||
}
|
||||
else // a random solution needs to be added
|
||||
{
|
||||
// random initialization
|
||||
randomMonOp(_pop[i]);
|
||||
}
|
||||
// evaluation of the new individual
|
||||
_pop[i].invalidate();
|
||||
eval(_pop[i]);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// A DEVELOPPER RAPIDEMENT POUR TESTER AVEC CROSSOVER //
|
||||
/*
|
||||
void generateNewSolutions2(eoPop < MOEOT > & _pop, const moeoArchive < MOEOT > & _arch)
|
||||
{
|
||||
// here, we must have a QuadOp !
|
||||
//eoQuadOp < MOEOT > quadOp;
|
||||
rsCrossQuad quadOp;
|
||||
// shuffle vector for the random selection of individuals
|
||||
vector<unsigned int> shuffle;
|
||||
shuffle.resize(_arch.size());
|
||||
// init shuffle
|
||||
for (unsigned int i=0; i<shuffle.size(); i++)
|
||||
{
|
||||
shuffle[i] = i;
|
||||
}
|
||||
// randomize shuffle
|
||||
UF_random_generator <unsigned int int> gen;
|
||||
std::random_shuffle(shuffle.begin(), shuffle.end(), gen);
|
||||
// start the creation of new solutions
|
||||
unsigned int i=0;
|
||||
while ((i<_pop.size()-1) && (i<_arch.size()-1))
|
||||
{
|
||||
_pop[i] = _arch[shuffle[i]];
|
||||
_pop[i+1] = _arch[shuffle[i+1]];
|
||||
// then, apply the operator nIterationsNoise times
|
||||
for (unsigned int j=0; j<nNoiseIterations; j++)
|
||||
{
|
||||
quadOp(_pop[i], _pop[i+1]);
|
||||
}
|
||||
eval(_pop[i]);
|
||||
eval(_pop[i+1]);
|
||||
i=i+2;
|
||||
}
|
||||
// do we have to add some random solutions ?
|
||||
while (i<_pop.size())
|
||||
{
|
||||
randomMonOp(_pop[i]);
|
||||
eval(_pop[i]);
|
||||
i++;
|
||||
}
|
||||
}
|
||||
*/
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOITERATEDIBMOLS_H_*/
|
||||
53
branches/cmakemodif/paradiseo-moeo/src/algo/moeoLS.h
Normal file
53
branches/cmakemodif/paradiseo-moeo/src/algo/moeoLS.h
Normal file
|
|
@ -0,0 +1,53 @@
|
|||
/*
|
||||
* <moeoLS.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 MOEOLS_H_
|
||||
#define MOEOLS_H_
|
||||
|
||||
#include <eoFunctor.h>
|
||||
#include <algo/moeoAlgo.h>
|
||||
#include <archive/moeoArchive.h>
|
||||
|
||||
/**
|
||||
* Abstract class for local searches applied to multi-objective optimization.
|
||||
* Starting from a Type (i.e.: an individual, a pop, an archive...), it produces a set of new non-dominated solutions.
|
||||
*/
|
||||
template < class MOEOT, class Type >
|
||||
class moeoLS: public moeoAlgo, public eoBF < Type, moeoArchive < MOEOT > &, void >
|
||||
{};
|
||||
|
||||
#endif /*MOEOLS_H_*/
|
||||
215
branches/cmakemodif/paradiseo-moeo/src/algo/moeoNSGA.h
Normal file
215
branches/cmakemodif/paradiseo-moeo/src/algo/moeoNSGA.h
Normal file
|
|
@ -0,0 +1,215 @@
|
|||
/*
|
||||
* <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_*/
|
||||
210
branches/cmakemodif/paradiseo-moeo/src/algo/moeoNSGAII.h
Normal file
210
branches/cmakemodif/paradiseo-moeo/src/algo/moeoNSGAII.h
Normal file
|
|
@ -0,0 +1,210 @@
|
|||
/*
|
||||
* <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_*/
|
||||
210
branches/cmakemodif/paradiseo-moeo/src/algo/moeoSEEA.h
Normal file
210
branches/cmakemodif/paradiseo-moeo/src/algo/moeoSEEA.h
Normal file
|
|
@ -0,0 +1,210 @@
|
|||
/*
|
||||
* <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, 1.0), 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, 1.0), 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 _metric metric
|
||||
* @param _kappa scaling factor kappa
|
||||
*/
|
||||
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, 1.0), 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 _metric metric
|
||||
* @param _kappa scaling factor kappa
|
||||
*/
|
||||
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, 1.0), 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 _metric metric
|
||||
* @param _kappa scaling factor kappa
|
||||
*/
|
||||
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, 1.0), 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
|
||||
breed (_pop, offspring);
|
||||
popEval (_pop, offspring); // eval of offspring
|
||||
// after replace, the new pop is in _pop
|
||||
replace (_pop, offspring);
|
||||
archive (_pop); // archive update
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
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_*/
|
||||
275
branches/cmakemodif/paradiseo-moeo/src/algo/moeoSPEA2.h
Normal file
275
branches/cmakemodif/paradiseo-moeo/src/algo/moeoSPEA2.h
Normal file
|
|
@ -0,0 +1,275 @@
|
|||
/*
|
||||
* <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;
|
||||
/** selectMany */
|
||||
eoSelectMany <MOEOT> selectMany;
|
||||
/** select Transform*/
|
||||
eoSelectTransform <MOEOT> selectTransform;
|
||||
/** binary tournament selection */
|
||||
moeoSelectFromPopAndArch < MOEOT > select;
|
||||
/**SelectOne*/
|
||||
moeoDetTournamentSelect < MOEOT > defaultSelect;
|
||||
/** fitness assignment used in NSGA-II */
|
||||
moeoDominanceCountRankingFitnessAssignment < MOEOT > fitnessAssignment;
|
||||
/** diversity assignment used in NSGA-II */
|
||||
moeoNearestNeighborDiversityAssignment < MOEOT > diversityAssignment;
|
||||
/** elitist replacement */
|
||||
moeoGenerationalReplacement < MOEOT > replace;
|
||||
/** a default crossover */
|
||||
eoQuadCloneOp < MOEOT > defaultQuadOp;
|
||||
/** a default mutation */
|
||||
eoMonCloneOp < MOEOT > defaultMonOp;
|
||||
/** an object for genetic operators (used as default) */
|
||||
eoSGAGenOp < MOEOT > defaultSGAGenOp;
|
||||
/** general breeder */
|
||||
eoGeneralBreeder < MOEOT > genBreed;
|
||||
/** breeder */
|
||||
eoBreed < MOEOT > & breed;
|
||||
/**distance*/
|
||||
moeoEuclideanDistance < MOEOT > dist;
|
||||
/**archive*/
|
||||
moeoArchive < MOEOT >& archive;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOSPEA2_H_*/
|
||||
Loading…
Add table
Add a link
Reference in a new issue