Nettoyage

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1823 331e1502-861f-0410-8da2-ba01fb791d7f
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jhumeau 2010-05-26 15:18:59 +00:00
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/*
* <moeoAchievementFitnessAssignment.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 MOEOACHIEVEMENTFITNESSASSIGNMENT_H_
#define MOEOACHIEVEMENTFITNESSASSIGNMENT_H_
#include <vector>
#include <eoPop.h>
#include <fitness/moeoScalarFitnessAssignment.h>
/**
* Fitness assignment sheme based on the achievement scalarizing function propozed by Wiersbicki (1980).
*/
template < class MOEOT >
class moeoAchievementFitnessAssignment : public moeoScalarFitnessAssignment < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor
* @param _reference reference point vector
* @param _lambdas weighted coefficients vector
* @param _spn arbitrary small positive number (0 < _spn << 1)
*/
moeoAchievementFitnessAssignment(ObjectiveVector & _reference, std::vector < double > & _lambdas, double _spn=0.0001) : reference(_reference), lambdas(_lambdas), spn(_spn)
{
// consistency check
if ((spn < 0.0) || (spn > 1.0))
{
std::cout << "Warning, the arbitrary small positive number should be > 0 and <<1, adjusted to 0.0001\n";
spn = 0.0001;
}
}
/**
* Ctor with default values for lambdas (1/nObjectives)
* @param _reference reference point vector
* @param _spn arbitrary small positive number (0 < _spn << 1)
*/
moeoAchievementFitnessAssignment(ObjectiveVector & _reference, double _spn=0.0001) : reference(_reference), spn(_spn)
{
// compute the default values for lambdas
lambdas = std::vector < double > (ObjectiveVector::nObjectives());
for (unsigned int i=0 ; i<lambdas.size(); i++)
{
lambdas[i] = 1.0 / ObjectiveVector::nObjectives();
}
// consistency check
if ((spn < 0.0) || (spn > 1.0))
{
std::cout << "Warning, the arbitrary small positive number should be > 0 and <<1, adjusted to 0.0001\n";
spn = 0.0001;
}
}
/**
* Sets the fitness values for every solution contained in the population _pop
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
for (unsigned int i=0; i<_pop.size() ; i++)
{
compute(_pop[i]);
}
}
/**
* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account (nothing to do).
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
// nothing to do ;-)
}
/**
* Sets the reference point
* @param _reference the new reference point
*/
void setReference(const ObjectiveVector & _reference)
{
reference = _reference;
}
private:
/** the reference point */
ObjectiveVector reference;
/** the weighted coefficients vector */
std::vector < double > lambdas;
/** an arbitrary small positive number (0 < _spn << 1) */
double spn;
/**
* Returns a big value (regarded as infinite)
*/
double inf() const
{
return std::numeric_limits<double>::max();
}
/**
* Computes the fitness value for a solution
* @param _moeo the solution
*/
void compute(MOEOT & _moeo)
{
unsigned int nobj = MOEOT::ObjectiveVector::nObjectives();
double temp;
double min = inf();
double sum = 0;
for (unsigned int obj=0; obj<nobj; obj++)
{
temp = lambdas[obj] * (reference[obj] - _moeo.objectiveVector()[obj]);
min = std::min(min, temp);
sum += temp;
}
_moeo.fitness(min + spn*sum);
}
};
#endif /*MOEOACHIEVEMENTFITNESSASSIGNMENT_H_*/

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/*
* <moeoScalarizationFunctionMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoScalarizationFunctionMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOASFAFITNESSASSIGNMENT_H_
#define MOEOASFAFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <distance/moeoAchievementScalarizingFunctionDistance.h>
#include <metric/moeoDistanceMetric.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric( distance, _reference, defaultNormalizer){}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval): normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric( distance, _reference, defaultNormalizer){}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer, eoEvalFunc<MOEOT>& _eval) : normalizer(_normalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, _normalizer){}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, defaultNormalizer){}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector& _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the populing _pop (and in the archive)
* @param _pop the populing
*/
void operator()(eoPop < MOEOT > & _pop)
{
for (unsigned int k=0; k < _pop.size(); k++)
operator()(_pop[k]);
}
/**
* @param _pop the populing
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
eoEvalFunc<MOEOT> &eval;
moeoAchievementScalarizingFunctionDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/

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@ -41,7 +41,7 @@
#include <eoPop.h>
#include <eoEvalFunc.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/fitness/moeoSingleObjectivization.h>
/*
* Fitness assignment scheme which use weight foreach objectives

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/*
* <moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoAugmentedScalarizingFunctionMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOAUGASFAFITNESSASSIGNMENT_H_
#define MOEOAUGASFAFITNESSASSIGNMENT_H_
#include <moeo>
#include <eo>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
#include <distance/moeoAugmentedAchievementScalarizingFunctionDistance.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho,const ObjectiveVector &_reference,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer) : normalizer(_normalizer),eval(defaultEval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid
* @param _eval a evalFunc to regenerate the objectiveVector if needed
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,eoEvalFunc<MOEOT> &_eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
* ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer,eoEvalFunc<MOEOT> &_eval) :normalizer(_normalizer),eval(_eval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho,_weight), metric(distance,_reference,normalizer)
{}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector()) eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the populing _pop (and in the archive)
* @param _pop the populing
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int pop_size= _pop.size();
for (unsigned int k=0; k<pop_size; k++){
operator()(_pop[k]);
}
}
/**
* @param _pop the populing
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
eoEvalFunc<MOEOT> &eval;
moeoAugmentedAchievementScalarizingFunctionDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/

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@ -1,145 +0,0 @@
/*
* <moeoAugmentedWeightedChebychevMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoAugmentedWeightedChebychevMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOAUGCHEVMETRICFITNESSASSIGNMENT_H_
#define MOEOAUGCHEVMETRICFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoAugmentedWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer, eoEvalFunc<MOEOT>& _eval) : normalizer(_normalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop){
for (unsigned int k=0; k<_pop.size(); k++)
operator()(_pop[k]);
}
/**
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
eoEvalFunc<MOEOT> &eval;
moeoAugmentedWeightedChebychevDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoAugmentedWeightedChebychevMetricFitnessASSIGNMENT_H_*/

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@ -40,7 +40,7 @@
#define MOEOCONSTRAINTFITNESSASSIGNMENT_H_
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <scalarStuffs/fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*

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@ -1,120 +0,0 @@
/*
* <moeoIncrEvalSingleObjectivizer.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2009
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOINCREVALSINGLEOBJECTIVIZER_H_
#define MOEOINCREVALSINGLEOBJECTIVIZER_H_
#include <moeo>
#include <eo>
#include <moMoveIncrEval.h>
#include <fitness/moeoFitnessAssignment.h>
#include <fitness/moeoSingleObjectivization.h>
#include <eoEvalFunc.h>
/**
* Class to adapt mo algorithms (moTS moVNC...) for multiobjectives
* This class play a moMoveIncrEval but can be used with multi objectives
* Use a Singleobjectivizer to set the fitness value according to each dimension
*/
template < class MOEOT , class Move >
class moeoIncrEvalSingleObjectivizer : public moeoSingleObjectivization<MOEOT>, public moMoveIncrEval < Move, typename MOEOT::Fitness>
{
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
moeoIncrEvalSingleObjectivizer (){}
/**
Constructor
@param _singler a singleObjectivizer to calculte the fitness from the objectiveVector
@param _incr incremental evaluation of moeots
*/
moeoIncrEvalSingleObjectivizer ( moeoSingleObjectivization<MOEOT> &_singler, moMoveIncrEval<Move,typename MOEOT::ObjectiveVector> &_incr):
singler(_singler), incr(_incr)
{}
/**
* herited from moeoFitnessAssignment, calculate fitness for all population
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > & _pop){
singler(_pop);
};
/**
herited from eoEvalFunc, calculate fitness for a moeot
@param _moeot
*/
virtual void operator() (MOEOT & _moeot){
singler(_moeot);
};
/**
calculate fitness from an objectiveVector
@param _moeot a valid ObejctiveVector
@return the fitness value for the objectiveVector
*/
virtual typename MOEOT::Fitness operator() (const typename MOEOT::ObjectiveVector & _moeot){
return singler(_moeot);
};
/**
evaluates incrementally the fitness for a moeo
@param _mov a movement to virtually apply to _moeo
@param _moeo the base solution
@return the fitness of _moeo with _move applied
*/
virtual typename MOEOT::Fitness operator() ( const Move &_mov, const MOEOT &_moeo ){
return singler(incr_obj(_mov,_moeo));
}
/**
evaluates incrementally the objectiveVector for a moeo
@param _mov a movement to virtually apply to _moeo
@param _moeo the base solution
@return the objectiveVector of _moeo with _move applied
*/
virtual ObjectiveVector incr_obj ( const Move &_mov, const MOEOT &_moeo ){
return incr(_mov,_moeo);
}
/** dummy method**/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
moeoSingleObjectivization<MOEOT> &singler;
moMoveIncrEval<Move,typename MOEOT::ObjectiveVector> &incr;
};
#endif /*MOEOINCREVALSINGLEOBJECTIVIZER_H_*/

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/*
* <moeoMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoMetrucFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOMETRICFITNESSASSIGNMENT_H_
#define MOEOMETRICFITNESSASSIGNMENT_H_
#include <moeo>
#include <eo>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* Default ctor
* @param _metric a metric function to calculate fitness
* @param _negate true if fitness should be maxed
*/
moeoMetricFitnessAssignment(moeoUnaryMetric<ObjectiveVector,Fitness> &_metric, bool _negate=true) : metric(_metric),eval(defaultEval),negate(_negate)
{}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid
* @param _eval a evalFunc to regenerate the objectiveVector if needed
* @param _metric a metric function to calculate fitness
* @param _negate true if fitness should be maxed
*/
moeoMetricFitnessAssignment(moeoUnaryMetric<ObjectiveVector,Fitness> &_metric,eoEvalFunc<MOEOT> &_eval, bool _negate=false) : metric(_metric),eval(_eval),negate(_negate)
{}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector()) eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
if (negate)
return 1/metric(_mo);
else return metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
unsigned int pop_size= _pop.size();
for (unsigned int k=0; k<pop_size; k++){
operator()(_pop[k]);
}
}
/**
* Warning: no yet implemented: Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
{
//std::cout << "WARNING : updateByDeleting not implemented in moeoAssignmentFitnessAssignment" << std::endl;
}
private:
moeoUnaryMetric<typename MOEOT::ObjectiveVector,Fitness> &metric;
eoEvalFunc<MOEOT> &eval;
bool negate;
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
};
#endif /*MOEOMETRICFITNESSASSIGNMENT_H_*/

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@ -1,67 +0,0 @@
/*
* <moeoSingleObjectivization.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2009
* (C) OPAC Team, LIFL, 2002-2007
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOSINGLEOBJECTIVIZATION_H_
#define MOEOSINGLEOBJECTIVIZATION_H_
#include <fitness/moeoFitnessAssignment.h>
#include <eoEvalFunc.h>
/**
* Class to adapt multiobjective problems to single objective algorithms
*/
template < class MOEOT >
class moeoSingleObjectivization : public moeoFitnessAssignment < MOEOT > , public eoEvalFunc < MOEOT >
{
public:
/**
* herited from moeoFitnessAssignment
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > & _pop)=0;
/**
herited from eoEvalFunc
@param _moeot
*/
virtual void operator() (MOEOT & _moeot)=0;
virtual typename MOEOT::Fitness operator() (const typename MOEOT::ObjectiveVector & _obj)=0;
};
#endif /*MOEOSINGLEOBJECTIVIZATION_H_*/

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@ -1,148 +0,0 @@
/*
* <moeoWeightedChebychevMetricFitnessAssignment.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* François Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// moeoWeightedChebychevMetricFitnessAssignment.h
//-----------------------------------------------------------------------------
#ifndef MOEOCHEVMETRICFITNESSASSIGNMENT_H_
#define MOEOCHEVMETRICFITNESSASSIGNMENT_H_
#include <moeo>
#include <eo>
#include <vector>
#include <eoPop.h>
#include <fitness/moeoSingleObjectivization.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
#include <distance/moeoWeightedChebychevDistance.h>
/*
* Fitness assignment scheme which use a metric
*/
template < class MOEOT>
class moeoWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename MOEOT::Fitness Fitness;
typedef typename ObjectiveVector::Type Type;
/**
* ctor with normalizer
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, _normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* ctor with an evaluation fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
* @param _normalizer the normalizer to apply to objectiveVectors
* @param _eval a evalFunc to regenerate the objectiveVector if needed
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer, eoEvalFunc<MOEOT>& _eval) : normalizer(_normalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
default constructor
* @param _rho
* @param _reference the reference point
* @param _weight the weights applied to the objectives
*/
moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
/**
* Sets the fitness values for a moeot
* @param _mo the MOEOT
*/
void operator()(MOEOT & _mo){
if (_mo.invalidObjectiveVector())
eval(_mo);
_mo.fitness(operator()(_mo.objectiveVector()));
}
/**
return the fitness of a valid objectiveVector
@param _mo the objectiveVector
@return the fitness value of _mo
*/
typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector & _mo){
return -metric(_mo);
}
/**
* Sets the fitness values for every solution contained in the population _pop (and in the archive)
* @param _pop the population
*/
void operator()(eoPop < MOEOT > & _pop)
{
for (unsigned int k=0; k < _pop.size(); k++)
operator()(_pop[k]);
}
/**
* @param _pop the population
* @param _objVec the objective vector
*/
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
private:
class DummyEval: public eoEvalFunc<MOEOT>{
void operator()(MOEOT &moeo){
}
} defaultEval;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
eoEvalFunc<MOEOT> &eval;
moeoWeightedChebychevDistance<MOEOT> distance;
moeoDistanceMetric<MOEOT> metric;
};
#endif /*moeoWeightedChebychevMetricFitnessASSIGNMENT_H_*/