git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@177 331e1502-861f-0410-8da2-ba01fb791d7f

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legrand 2007-02-06 13:11:53 +00:00
commit f3bf6dcb10
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Arnaud Liefooghe
Thomas Legrand
Sébastien Cahon
Abdelhakim Deneche

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SUBDIRS = docs src tutorials
clean_all: clean_aux clean_doc
-@make clean
-@(rm -rf aclocal.m4 autom4te.cache configure config.* CO* dep* INST* install-sh miss* mkins* Makefile Makefile.in;\
cd docs; rm -rf Makefile Makefile.in *.doxytag; cd ../src ; rm -rf Makefile Makefile.in; cd ../tutorials; rm -rf Makefile Makefile.in;\
cd lesson1; rm -rf .deps/ Makefile Makefile.in)
clean_aux:
-@find . \( -name "*~" -o -name "*.old" -o -name "#*" -o -name "*.bak" \) -print -exec rm -rf \{\} \;
doc:
-@(cd docs; make doc)
clean_doc:
-@(cd docs; make clean-local)

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* release 0.1
# Local Variables:
# coding: iso-8859-1
# mode: text
# fill-column: 80
# End:

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PARADISEO-MOEO README FILE
=======================================================================
check latest news at http://paradiseo.gforge.inria.fr/
=======================================================================
Welcome to ParadisEO-MOEO, the Multi-Objective Evolving Objects library.
The latest news about ParadisEO-MOEO can be found on the gforge repository at
http://paradiseo.gforge.inria.fr/
In case of any problem, please e-mail us at
paradiseo-help@lists.gforge.inria.fr
==================================================================
BUILDING PARADISEO-MOEO
==================================================================
The basic installation procedure goes the following:
Go to your build-directory and run
> $(SRCDIR)/configure
> make
> make doc
where $(SRCDIR) is the top-level source directory of PARADISEO-MOEO,
i.e. where the sources were unpacked.
In case of problems, you can read the INSTALL file - but remember this
is a standard installation file from GNU and that it contains nothing
specific about PARADISEO-MOEO.
To clean everything, the simply run
> make clean_all
===================================================================
DIRECTORY STRUCTURE
===================================================================
After unpacking the archive file, you should end up with the following
structure:
.../ The main PARADISEO-MOEO directory, created when unpacking.
|
+-- src SOURCE directory Contains most PARADISEO-MOEO .h files.
|
+-- docs DOCUMENTATION directory (generated by Doxygen).
| |
| +- html HTML files - start at index.html.
| |
| +- latex latex files - use to generate Postcript doc.
| |
| +- man Unix man format documentation.
|
|
+-- tutorials APPLICATIONS - one directory per separate application.
|
+-- lesson1 A bi-objective flow-shop problem example with main algorithms.
| |
| +-benchmarks Instance files for testing.
|
|-- lesson2 Implement NSGA-II for the SCH1 problem.
===================================================================
NOTES
===================================================================
Mailing list : paradiseo-help@lists.gforge.inria.fr

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#!/bin/sh
# Run this to generate all the initial makefiles, etc.
srcdir=`dirname $0`
PKG_NAME="the package."
DIE=0
(autoconf --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`autoconf' installed to."
echo "Download the appropriate package for your distribution,"
echo "or get the source tarball at ftp://ftp.gnu.org/pub/gnu/"
DIE=1
}
(grep "^AM_PROG_LIBTOOL" $srcdir/configure.in >/dev/null) && {
(libtool --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`libtool' installed."
echo "Get ftp://ftp.gnu.org/pub/gnu/libtool-1.2d.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
}
grep "^AM_GNU_GETTEXT" $srcdir/configure.in >/dev/null && {
grep "sed.*POTFILES" $srcdir/configure.in >/dev/null || \
(gettext --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`gettext' installed."
echo "Get ftp://alpha.gnu.org/gnu/gettext-0.10.35.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
}
grep "^AM_GNOME_GETTEXT" $srcdir/configure.in >/dev/null && {
grep "sed.*POTFILES" $srcdir/configure.in >/dev/null || \
(gettext --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`gettext' installed."
echo "Get ftp://alpha.gnu.org/gnu/gettext-0.10.35.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
}
(automake --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: You must have \`automake' installed."
echo "Get ftp://ftp.gnu.org/pub/gnu/automake-1.3.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
NO_AUTOMAKE=yes
}
# if no automake, don't bother testing for aclocal
test -n "$NO_AUTOMAKE" || (aclocal --version) < /dev/null > /dev/null 2>&1 || {
echo
echo "**Error**: Missing \`aclocal'. The version of \`automake'"
echo "installed doesn't appear recent enough."
echo "Get ftp://ftp.gnu.org/pub/gnu/automake-1.3.tar.gz"
echo "(or a newer version if it is available)"
DIE=1
}
if test "$DIE" -eq 1; then
exit 1
fi
if test -z "$*"; then
echo "**Warning**: I am going to run \`configure' with no arguments."
echo "If you wish to pass any to it, please specify them on the"
echo \`$0\'" command line."
echo
fi
case $CC in
xlc )
am_opt=--include-deps;;
esac
for coin in `find $srcdir -name configure.in -print`
do
dr=`dirname $coin`
if test -f $dr/NO-AUTO-GEN; then
echo skipping $dr -- flagged as no auto-gen
else
echo processing $dr
macrodirs=`sed -n -e 's,AM_ACLOCAL_INCLUDE(\(.*\)),\1,gp' < $coin`
( cd $dr
aclocalinclude="$ACLOCAL_FLAGS"
for k in $macrodirs; do
if test -d $k; then
aclocalinclude="$aclocalinclude -I $k"
##else
## echo "**Warning**: No such directory \`$k'. Ignored."
fi
done
if grep "^AM_GNU_GETTEXT" configure.in >/dev/null; then
if grep "sed.*POTFILES" configure.in >/dev/null; then
: do nothing -- we still have an old unmodified configure.in
else
echo "Creating $dr/aclocal.m4 ..."
test -r $dr/aclocal.m4 || touch $dr/aclocal.m4
echo "Running gettextize... Ignore non-fatal messages."
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echo "Making $dr/aclocal.m4 writable ..."
test -r $dr/aclocal.m4 && chmod u+w $dr/aclocal.m4
fi
fi
if grep "^AM_GNOME_GETTEXT" configure.in >/dev/null; then
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echo "Running gettextize... Ignore non-fatal messages."
echo "no" | gettextize --force --copy
echo "Making $dr/aclocal.m4 writable ..."
test -r $dr/aclocal.m4 && chmod u+w $dr/aclocal.m4
fi
if grep "^AM_PROG_LIBTOOL" configure.in >/dev/null; then
echo "Running libtoolize..."
libtoolize --force --copy
fi
echo "Running aclocal $aclocalinclude ..."
aclocal $aclocalinclude
if grep "^AM_CONFIG_HEADER" configure.in >/dev/null; then
echo "Running autoheader..."
autoheader
fi
echo "Running automake --gnu $am_opt ..."
automake --add-missing --gnu $am_opt
echo "Running autoconf ..."
autoconf
)
fi
done
#conf_flags="--enable-maintainer-mode --enable-compile-warnings" #--enable-iso-c
if test x$NOCONFIGURE = x; then
echo Running $srcdir/configure $conf_flags "$@" ...
$srcdir/configure $conf_flags "$@" \
&& echo Now type \`make\' to compile $PKG_NAME
else
echo Skipping configure process.
fi

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AC_INIT(configure.in)
AM_INIT_AUTOMAKE(moeo, 0.1)
AC_ISC_POSIX
AC_PROG_CXX
AM_PROG_CC_STDC
AC_HEADER_STDC
AC_PROG_RANLIB
AC_PROG_INSTALL
AC_PROG_LN_S
AC_PROG_MAKE_SET
AC_C_CONST
AC_C_INLINE
AC_TYPE_SIZE_T
AC_SUBST(EO_DIR)
dnl EO
AC_ARG_WITH(EOdir,
--with-EOdir : Giving the path of the EO tree.,
EO_DIR="$withval"
if test ! -d $EO_DIR
then
echo ""
echo "# --with-EOdir Invalid directory $withval"
exit 1
fi,
echo ""
echo "# You forgot to give the path of the EO tree !"
echo "# Please write something like ... './configure --with-EOdir=\$HOME/eo'"
exit 1
)
AC_OUTPUT([
Makefile
src/Makefile
docs/Makefile
tutorials/Makefile
tutorials/lesson1/Makefile
tutorials/lesson2/Makefile
])

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doc:
-@doxygen moeo.doxyfile
clean-local:
rm -rf html latex man

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/** @mainpage Welcome to ParadisEO-MOEO
@section intro Introduction
ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
This paradigm-free software embeds some features and techniques for Pareto-based resolution and
aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
This separation confers a maximum design and code reuse.
ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more).
Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
using the whole version of ParadisEO.
@section tutorial Tutorial
A tutorial about a bi-objective flow-shop scheduling problem will be available soon.
@section install Installation
The installation procedure of the package is detailed in the <a
href="../../README">README</a> file in the top-directory of the source-tree.
@section design Overall Design
For an introduction to the design of ParadisEO-MOEO,
you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
*/
/** @page webpages Related webpages
- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
- <a href="../../README">README</a>
- <a href="../../NEWS">NEWS</a>
*/
// Local Variables:
// coding: iso-8859-1
// mode: C++
// c-file-style: "Stroustrup"
// fill-column: 80
// End:

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WARN_IF_UNDOCUMENTED = YES
WARN_IF_DOC_ERROR = YES
WARN_NO_PARAMDOC = NO
WARN_FORMAT = "$file:$line: $text"
WARN_LOGFILE =
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# configuration options related to the input files
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INPUT = . ../src
FILE_PATTERNS = *.cpp \
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NEWS README
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COLS_IN_ALPHA_INDEX = 3
IGNORE_PREFIX = moeo
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HTML_OUTPUT = html
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COMPACT_RTF = NO
RTF_HYPERLINKS = NO
RTF_STYLESHEET_FILE =
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# configuration options related to the man page output
#---------------------------------------------------------------------------
GENERATE_MAN = YES
MAN_OUTPUT = man
MAN_EXTENSION = .3
MAN_LINKS = NO
#---------------------------------------------------------------------------
# configuration options related to the XML output
#---------------------------------------------------------------------------
GENERATE_XML = NO
XML_OUTPUT = xml
XML_SCHEMA =
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#---------------------------------------------------------------------------
# configuration options for the AutoGen Definitions output
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// MOEO.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEO_H_
#define MOEO_H_
#include <iostream>
#include <stdexcept>
#include <string>
#include <EO.h>
/**
* Base class allowing to represent a solution (an individual) for multi-objective optimization.
* The template argument MOEOObjectiveVector allows to represent the solution in the objective space (it can be a moeoObjectiveVector object).
* The template argument MOEOFitness is an object reflecting the quality of the solution in term of convergence (the fitness of a solution is always to be maximized).
* The template argument MOEODiversity is an object reflecting the quality of the solution in term of diversity (the diversity of a solution is always to be maximized).
* All template arguments must have a void and a copy constructor.
* Besides, note that, contrary to the mono-objective case (and to EO) where the fitness value of a solution is confused with its objective value,
* the fitness value differs of the objectives values in the multi-objective case.
*
* !!!!!!!!!!!!!!!!! !!!!!
* operator '<' et '>' ???
* !!!!!!!!!!!!!!!!!!!!!!!
*/
template < class MOEOObjectiveVector, class MOEOFitness, class MOEODiversity >
class MOEO : public EO < MOEOFitness >
{
public:
/** the objective vector type of a solution */
typedef MOEOObjectiveVector ObjectiveVector;
/** the fitness type of a solution */
typedef MOEOFitness Fitness;
/** the diversity type of a solution */
typedef MOEODiversity Diversity;
/**
* Ctor
*/
MOEO()
{
// default values for every parameters
objectiveVectorValue = ObjectiveVector();
fitnessValue = Fitness();
diversityValue = Diversity();
// invalidate all
invalidate();
}
/**
* Virtual dtor
*/
virtual ~MOEO() {};
/**
* Returns the objective vector of the current solution
*/
ObjectiveVector objectiveVector() const
{
if ( invalidObjectiveVector() )
{
throw std::runtime_error("invalid objective vector");
}
return objectiveVectorValue;
}
/**
* Sets the objective vector of the current solution
* @param _objectiveVectorValue the new objective vector
*/
void objectiveVector(const ObjectiveVector & _objectiveVectorValue)
{
objectiveVectorValue = _objectiveVectorValue;
invalidObjectiveVectorValue = false;
}
/**
* Sets the objective vector as invalid
*/
void invalidateObjectiveVector()
{
invalidObjectiveVectorValue = true;
}
/**
* Returns true if the objective vector is invalid, false otherwise
*/
bool invalidObjectiveVector() const
{
return invalidObjectiveVectorValue;
}
/**
* Returns the fitness value of the current solution
*/
Fitness fitness() const
{
if ( invalidFitness() )
{
throw std::runtime_error("invalid fitness");
}
return fitnessValue;
}
/**
* Sets the fitness value of the current solution
* @param _fitnessValue the new fitness value
*/
void fitness(const Fitness & _fitnessValue)
{
fitnessValue = _fitnessValue;
invalidFitnessValue = false;
}
/**
* Sets the fitness value as invalid
*/
void invalidateFitness()
{
invalidFitnessValue = true;
}
/**
* Returns true if the fitness value is invalid, false otherwise
*/
bool invalidFitness() const
{
return invalidFitnessValue;
}
/**
* Returns the diversity value of the current solution
*/
Diversity diversity() const
{
if ( invalidDiversity() )
{
throw std::runtime_error("invalid diversity");
}
return diversityValue;
}
/**
* Sets the diversity value of the current solution
* @param _diversityValue the new diversity value
*/
void diversity(const Diversity & _diversityValue)
{
diversityValue = _diversityValue;
invalidDiversityValue = false;
}
/**
* Sets the diversity value as invalid
*/
void invalidateDiversity()
{
invalidDiversityValue = true;
}
/**
* Returns true if the diversity value is invalid, false otherwise
*/
bool invalidDiversity() const
{
return invalidDiversityValue;
}
/**
* Sets the objective vector, the fitness value and the diversity value as invalid
*/
void invalidate()
{
invalidateObjectiveVector();
invalidateFitness();
invalidateDiversity();
}
/**
* Returns true if the fitness value is invalid, false otherwise
*/
bool invalid() const
{
return invalidObjectiveVector();
}
/**
* Return the class id (the class name as a std::string)
*/
virtual std::string className() const
{
return "MOEO";
}
/**
* Writing object
* @param _os output stream
*/
virtual void printOn(std::ostream & _os) const
{
if ( invalidObjectiveVector() )
{
_os << "INVALID\t";
}
else
{
_os << objectiveVectorValue << '\t';
}
}
/**
* Reading object
* @param _is input stream
*/
virtual void readFrom(std::istream & _is)
{
std::string objectiveVector_str;
int pos = _is.tellg();
_is >> objectiveVector_str;
if (objectiveVector_str == "INVALID")
{
invalidateObjectiveVector();
}
else
{
invalidObjectiveVectorValue = false;
_is.seekg(pos); // rewind
_is >> objectiveVectorValue;
}
}
private:
/** the objective vector of this solution */
ObjectiveVector objectiveVectorValue;
/** true if the objective vector is invalid */
bool invalidObjectiveVectorValue;
/** the fitness value of this solution */
Fitness fitnessValue;
/** true if the fitness value is invalid */
bool invalidFitnessValue;
/** the diversity value of this solution */
Diversity diversityValue;
/** true if the diversity value is invalid */
bool invalidDiversityValue;
};
#endif /*MOEO_H_*/

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# Nothing to compile !

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoAdditiveEpsilonBinaryMetric.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOADDITIVEEPSILONBINARYMETRIC_H_
#define MOEOADDITIVEEPSILONBINARYMETRIC_H_
#include <metric/moeoMetric.h>
/**
*
*/
template < class MOEOT >
class moeoAdditiveEpsilonBinaryMetric : public moeoSolutionVsSolutionBinaryMetric < MOEOT, double >
{
public:
/** the objective vector type of a solution */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
moeoAdditiveEpsilonBinaryMetric();
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
{
}
};
#endif /*MOEOADDITIVEEPSILONBINARYMETRIC_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoBinaryMetricSavingUpdater.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOBINARYMETRICSAVINGUPDATER_H_
#define MOEOBINARYMETRICSAVINGUPDATER_H_
#include <fstream>
#include <string>
#include <eoPop.h>
#include <utils/eoUpdater.h>
#include <metric/moeoMetric.h>
/**
* This class allows to save the progression of a binary metric comparing the fitness values of the current population (or archive)
* with the fitness values of the population (or archive) of the generation (n-1) into a file
*/
template <class EOT>
class moeoBinaryMetricSavingUpdater : public eoUpdater
{
public:
/**
* The fitness type of a solution
*/
typedef typename EOT::ObjectiveVector ObjectiveVector;
/**
* Ctor
* @param _metric the binary metric comparing two Pareto sets
* @param _pop the main population
* @param _filename the target filename
*/
moeoBinaryMetricSavingUpdater (moeoPopVsPopBinaryMetric<EOT,double> & _metric, const eoPop<EOT> & _pop, std::string _filename) :
metric(_metric), pop(_pop), filename(_filename), counter(1)
{}
/**
* Saves the metric's value for the current generation
*/
void operator()() {
if (pop.size()) {
if (firstGen) {
firstGen = false;
}
else {
// creation of the two Pareto sets
/*
std::vector<ObjectiveVector> from;
std::vector<ObjectiveVector> to;
for (unsigned i=0; i<pop.size(); i++)
from.push_back(pop[i].objectiveVector());
for (unsigned i=0 ; i<oldPop.size(); i++)
to.push_back(oldPop[i].objectiveVector());
*/
// writing the result into the file
std::ofstream f (filename.c_str(), std::ios::app);
f << counter++ << ' ' << metric(pop,oldPop) << std::endl;
f.close();
}
oldPop = pop;
}
}
private:
/** binary metric comparing two Pareto sets */
moeoPopVsPopBinaryMetric<EOT,double> & metric;
/** main population */
const eoPop<EOT> & pop;
/** (n-1) population */
eoPop<EOT> oldPop;
/** target filename */
std::string filename;
/** is it the first generation ? */
bool firstGen;
/** counter */
unsigned counter;
};
#endif /*MOEOBINARYMETRICSAVINGUPDATER_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoContributionMetric.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCONTRIBUTIONMETRIC_H_
#define MOEOCONTRIBUTIONMETRIC_H_
#include <metric/moeoMetric.h>
/**
* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
*
* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
*/
template < class MOEOT >
class moeoContributionMetric : public moeoPopVsPopBinaryMetric < MOEOT, double >
{
public:
/** the objective vector type of a solution */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Returns the contribution of the Pareto set '_set1' relatively to the Pareto set '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
double operator()(const eoPop < MOEOT > & _pop1, const eoPop < MOEOT > & _pop2) {
/************/
std::vector<ObjectiveVector> set1;
std::vector<ObjectiveVector> set2;
for (unsigned i=0; i<_pop1.size(); i++)
set1.push_back(_pop1[i].objectiveVector());
for (unsigned i=0 ; i<_pop2.size(); i++)
set2.push_back(_pop2[i].objectiveVector());
/****************/
unsigned c = card_C(set1, set2);
unsigned w1 = card_W(set1, set2);
unsigned n1 = card_N(set1, set2);
unsigned w2 = card_W(set2, set1);
unsigned n2 = card_N(set2, set1);
return (double) (c / 2.0 + w1 + n1) / (c + w1 + n1 + w2 + n2);
}
private:
/**
* Returns the number of solutions both in '_set1' and '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned card_C (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
unsigned c=0;
for (unsigned i=0; i<_set1.size(); i++)
for (unsigned j=0; j<_set2.size(); j++)
if (_set1[i] == _set2[j]) {
c++;
break;
}
return c;
}
/**
* Returns the number of solutions in '_set1' dominating at least one solution of '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned card_W (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
unsigned w=0;
for (unsigned i=0; i<_set1.size(); i++)
for (unsigned j=0; j<_set2.size(); j++)
if (_set1[i].dominates(_set2[j])) {
w++;
break;
}
return w;
}
/**
* Returns the number of solutions in '_set1' having no relation of dominance with those from '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
unsigned card_N (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
unsigned n=0;
for (unsigned i=0; i<_set1.size(); i++) {
bool domin_rel = false;
for (unsigned j=0; j<_set2.size(); j++)
if (_set1[i].dominates(_set2[j]) || _set2[j].dominates(_set1 [i])) {
domin_rel = true;
break;
}
if (! domin_rel)
n++;
}
return n;
}
};
#endif /*MOEOCONTRIBUTIONMETRIC_H_*/

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoEntropyMetric.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOENTROPYMETRIC_H_
#define MOEOENTROPYMETRIC_H_
#include <metric/moeoMetric.h>
/**
* The entropy gives an idea of the diversity of a Pareto set relatively to another Pareto set
*
* (Basseur, Seynhaeve, Talbi: 'Design of Multi-objective Evolutionary Algorithms: Application to the Flow-shop Scheduling Problem', in Proc. of the 2002 Congress on Evolutionary Computation, IEEE Press, pp. 1155-1156)
*/
template < class MOEOT >
class moeoEntropyMetric : public moeoVectorVsVectorBinaryMetric < MOEOT, double >
{
public:
/** the objective vector type of a solution */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Returns the entropy of the Pareto set '_set1' relatively to the Pareto set '_set2'
* @param _set1 the first Pareto set
* @param _set2 the second Pareto set
*/
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
// normalization
std::vector< ObjectiveVector > set1 = _set1;
std::vector< ObjectiveVector > set2= _set2;
removeDominated (set1);
removeDominated (set2);
prenormalize (set1);
normalize (set1);
normalize (set2);
// making of PO*
std::vector< ObjectiveVector > star; // rotf :-)
computeUnion (set1, set2, star);
removeDominated (star);
// making of PO1 U PO*
std::vector< ObjectiveVector > union_set1_star; // rotf again ...
computeUnion (set1, star, union_set1_star);
unsigned C = union_set1_star.size();
float omega=0;
float entropy=0;
for (unsigned i=0 ; i<C ; i++) {
unsigned N_i = howManyInNicheOf (union_set1_star, union_set1_star[i], star.size());
unsigned n_i = howManyInNicheOf (set1, union_set1_star[i], star.size());
if (n_i > 0) {
omega += 1.0 / N_i;
entropy += (float) n_i / (N_i * C) * log (((float) n_i / C) / log (2.0));
}
}
entropy /= - log (omega);
entropy *= log (2.0);
return entropy;
}
private:
std::vector<double> vect_min_val;
std::vector<double> vect_max_val;
void removeDominated(std::vector< ObjectiveVector > & _f) {
for (unsigned i=0 ; i<_f.size(); i++) {
bool dom = false;
for (unsigned j=0; j<_f.size(); j++)
if (i != j && _f[j].dominates(_f[i])) {
dom = true;
break;
}
if (dom) {
_f[i] = _f.back();
_f.pop_back();
i--;
}
}
}
void prenormalize (const std::vector< ObjectiveVector > & _f) {
vect_min_val.clear();
vect_max_val.clear();
for (unsigned char i=0 ; i<ObjectiveVector::nObjectives(); i++) {
float min_val = _f.front()[i], max_val = min_val;
for (unsigned j=1 ; j<_f.size(); j++) {
if (_f[j][i] < min_val)
min_val = _f[j][i];
if (_f[j][i]>max_val)
max_val = _f[j][i];
}
vect_min_val.push_back(min_val);
vect_max_val.push_back (max_val);
}
}
void normalize (std::vector< ObjectiveVector > & _f) {
for (unsigned i=0 ; i<ObjectiveVector::nObjectives(); i++)
for (unsigned j=0; j<_f.size(); j++)
_f[j][i] = (_f[j][i] - vect_min_val[i]) / (vect_max_val[i] - vect_min_val[i]);
}
void computeUnion(const std::vector< ObjectiveVector > & _f1, const std::vector< ObjectiveVector > & _f2, std::vector< ObjectiveVector > & _f) {
_f = _f1 ;
for (unsigned i=0; i<_f2.size(); i++) {
bool b = false;
for (unsigned j=0; j<_f1.size(); j ++)
if (_f1[j] == _f2[i]) {
b = true;
break;
}
if (! b)
_f.push_back(_f2[i]);
}
}
unsigned howManyInNicheOf (const std::vector< ObjectiveVector > & _f, const ObjectiveVector & _s, unsigned _size) {
unsigned n=0;
for (unsigned i=0 ; i<_f.size(); i++) {
if (euclidianDistance(_f[i], _s) < (_s.size() / (double) _size))
n++;
}
return n;
}
double euclidianDistance (const ObjectiveVector & _set1, const ObjectiveVector & _to, unsigned _deg = 2) {
double dist=0;
for (unsigned i=0; i<_set1.size(); i++)
dist += pow(fabs(_set1[i] - _to[i]), (int)_deg);
return pow(dist, 1.0 / _deg);
}
};
#endif /*MOEOENTROPYMETRIC_H_*/

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