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/*
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* <moeoAchievementFitnessAssignment.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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*
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* This software is governed by the CeCILL license under French law and
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* 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
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||||
* Contact: paradiseo-help@lists.gforge.inria.fr
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||||
*
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*/
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//-----------------------------------------------------------------------------
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#ifndef MOEOACHIEVEMENTFITNESSASSIGNMENT_H_
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#define MOEOACHIEVEMENTFITNESSASSIGNMENT_H_
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#include <vector>
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#include <eoPop.h>
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#include <fitness/moeoScalarFitnessAssignment.h>
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/**
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* Fitness assignment sheme based on the achievement scalarizing function propozed by Wiersbicki (1980).
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*/
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template < class MOEOT >
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class moeoAchievementFitnessAssignment : public moeoScalarFitnessAssignment < MOEOT >
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{
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public:
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/** the objective vector type of the solutions */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/**
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* Default ctor
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* @param _reference reference point vector
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* @param _lambdas weighted coefficients vector
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* @param _spn arbitrary small positive number (0 < _spn << 1)
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*/
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moeoAchievementFitnessAssignment(ObjectiveVector & _reference, std::vector < double > & _lambdas, double _spn=0.0001) : reference(_reference), lambdas(_lambdas), spn(_spn)
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{
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// consistency check
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if ((spn < 0.0) || (spn > 1.0))
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{
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std::cout << "Warning, the arbitrary small positive number should be > 0 and <<1, adjusted to 0.0001\n";
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spn = 0.0001;
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}
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}
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/**
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* Ctor with default values for lambdas (1/nObjectives)
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* @param _reference reference point vector
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* @param _spn arbitrary small positive number (0 < _spn << 1)
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*/
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moeoAchievementFitnessAssignment(ObjectiveVector & _reference, double _spn=0.0001) : reference(_reference), spn(_spn)
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{
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// compute the default values for lambdas
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lambdas = std::vector < double > (ObjectiveVector::nObjectives());
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for (unsigned int i=0 ; i<lambdas.size(); i++)
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{
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lambdas[i] = 1.0 / ObjectiveVector::nObjectives();
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}
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// consistency check
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if ((spn < 0.0) || (spn > 1.0))
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{
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std::cout << "Warning, the arbitrary small positive number should be > 0 and <<1, adjusted to 0.0001\n";
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spn = 0.0001;
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}
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}
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/**
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* Sets the fitness values for every solution contained in the population _pop
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* @param _pop the population
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*/
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virtual void operator()(eoPop < MOEOT > & _pop)
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{
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for (unsigned int i=0; i<_pop.size() ; i++)
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{
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compute(_pop[i]);
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}
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}
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/**
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* Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account (nothing to do).
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* @param _pop the population
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* @param _objVec the objective vector
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*/
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void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
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{
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// nothing to do ;-)
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}
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/**
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* Sets the reference point
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* @param _reference the new reference point
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*/
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void setReference(const ObjectiveVector & _reference)
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{
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reference = _reference;
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}
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private:
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/** the reference point */
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ObjectiveVector reference;
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/** the weighted coefficients vector */
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std::vector < double > lambdas;
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/** an arbitrary small positive number (0 < _spn << 1) */
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double spn;
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/**
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* Returns a big value (regarded as infinite)
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*/
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double inf() const
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{
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return std::numeric_limits<double>::max();
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}
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/**
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* Computes the fitness value for a solution
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* @param _moeo the solution
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*/
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void compute(MOEOT & _moeo)
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{
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unsigned int nobj = MOEOT::ObjectiveVector::nObjectives();
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double temp;
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double min = inf();
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double sum = 0;
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for (unsigned int obj=0; obj<nobj; obj++)
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{
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temp = lambdas[obj] * (reference[obj] - _moeo.objectiveVector()[obj]);
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min = std::min(min, temp);
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sum += temp;
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}
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_moeo.fitness(min + spn*sum);
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}
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};
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#endif /*MOEOACHIEVEMENTFITNESSASSIGNMENT_H_*/
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@ -1,148 +0,0 @@
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/*
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* <moeoScalarizationFunctionMetricFitnessAssignment.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
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* (C) OPAC Team, LIFL, 2002-2008
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*
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* François Legillon
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*
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||||
* 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
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||||
*
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*/
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//-----------------------------------------------------------------------------
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// moeoScalarizationFunctionMetricFitnessAssignment.h
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//-----------------------------------------------------------------------------
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#ifndef MOEOASFAFITNESSASSIGNMENT_H_
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#define MOEOASFAFITNESSASSIGNMENT_H_
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#include <eoPop.h>
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#include <fitness/moeoSingleObjectivization.h>
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#include <distance/moeoAchievementScalarizingFunctionDistance.h>
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#include <metric/moeoDistanceMetric.h>
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#include <utils/moeoObjectiveVectorNormalizer.h>
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/*
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* Fitness assignment scheme which use a metric
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*/
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template < class MOEOT>
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class moeoAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
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{
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public:
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/** the objective vector type of the solutions */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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typedef typename MOEOT::Fitness Fitness;
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typedef typename ObjectiveVector::Type Type;
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/**
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* ctor with normalizer
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* @param _rho
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* @param _reference the reference point
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* @param _weight the weights applied to the objectives
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* @param _normalizer the normalizer to apply to objectiveVectors
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*/
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moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer) : normalizer(_normalizer), eval(defaultEval), distance(_rho, _weight), metric( distance, _reference, defaultNormalizer){}
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/**
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* ctor with an evaluing fonction, applied if give moeot is invalid
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* @param _rho
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* @param _reference the reference point
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* @param _weight the weights applied to the objectives
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* @param _eval a evalFunc to regenerate the objectiveVector if needed
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*/
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moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval): normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric( distance, _reference, defaultNormalizer){}
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/**
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* ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
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* @param _rho
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* @param _reference the reference point
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* @param _weight the weights applied to the objectives
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* @param _normalizer the normalizer to apply to objectiveVectors
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* @param _eval a evalFunc to regenerate the objectiveVector if needed
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*/
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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){}
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/**
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default constructor
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* @param _rho
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* @param _reference the reference point
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* @param _weight the weights applied to the objectives
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*/
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moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, defaultNormalizer){}
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/**
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* Sets the fitness values for a moeot
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* @param _mo the MOEOT
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*/
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void operator()(MOEOT & _mo){
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if (_mo.invalidObjectiveVector())
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eval(_mo);
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_mo.fitness(operator()(_mo.objectiveVector()));
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}
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/**
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return the fitness of a valid objectiveVector
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@param _mo the objectiveVector
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@return the fitness value of _mo
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*/
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typename MOEOT::Fitness operator()(const typename MOEOT::ObjectiveVector& _mo){
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return -metric(_mo);
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}
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/**
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* Sets the fitness values for every solution contained in the populing _pop (and in the archive)
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* @param _pop the populing
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*/
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void operator()(eoPop < MOEOT > & _pop)
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{
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for (unsigned int k=0; k < _pop.size(); k++)
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operator()(_pop[k]);
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}
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/**
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* @param _pop the populing
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* @param _objVec the objective vector
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*/
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void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec){}
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private:
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class DummyEval: public eoEvalFunc<MOEOT>{
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void operator()(MOEOT &moeo){
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}
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} defaultEval;
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moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
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moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
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eoEvalFunc<MOEOT> &eval;
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moeoAchievementScalarizingFunctionDistance<MOEOT> distance;
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moeoDistanceMetric<MOEOT> metric;
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};
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#endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/
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@ -41,7 +41,7 @@
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#include <eoPop.h>
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#include <eoEvalFunc.h>
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#include <fitness/moeoSingleObjectivization.h>
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#include <scalarStuffs/fitness/moeoSingleObjectivization.h>
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/*
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* Fitness assignment scheme which use weight foreach objectives
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@ -1,161 +0,0 @@
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/*
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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
|
||||
*
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
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// moeoAugmentedScalarizingFunctionMetricFitnessAssignment.h
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//-----------------------------------------------------------------------------
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#ifndef MOEOAUGASFAFITNESSASSIGNMENT_H_
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#define MOEOAUGASFAFITNESSASSIGNMENT_H_
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#include <moeo>
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#include <eo>
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#include <vector>
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#include <eoPop.h>
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#include <fitness/moeoSingleObjectivization.h>
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#include <utils/moeoObjectiveVectorNormalizer.h>
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#include <distance/moeoAugmentedAchievementScalarizingFunctionDistance.h>
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/*
|
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* Fitness assignment scheme which use a metric
|
||||
*/
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template < class MOEOT>
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class moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSingleObjectivization < MOEOT >
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{
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||||
public:
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/** the objective vector type of the solutions */
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||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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typedef typename MOEOT::Fitness Fitness;
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||||
typedef typename ObjectiveVector::Type Type;
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||||
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/**
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* ctor with normalizer
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||||
* @param _normalizer the normalizer to apply to objectiveVectors
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||||
* @param _rho
|
||||
* @param _reference the reference point
|
||||
* @param _weight the weights applied to the objectives
|
||||
*/
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moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho,const ObjectiveVector &_reference,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer) : normalizer(_normalizer),eval(defaultEval), distance(_rho,_weight), metric(distance,_reference,normalizer)
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{}
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/**
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||||
* ctor with an evaluing fonction, applied if give moeot is invalid
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||||
* @param _eval a evalFunc to regenerate the objectiveVector if needed
|
||||
* @param _rho
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||||
* @param _reference the reference point
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||||
* @param _weight the weights applied to the objectives
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*/
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moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,eoEvalFunc<MOEOT> &_eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho,_weight), metric(distance,_reference,normalizer)
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{}
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/**
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* 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
|
||||
*/
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||||
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)
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||||
{}
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||||
/**
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||||
default constructor
|
||||
* @param _rho
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||||
* @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)
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||||
{}
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||||
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||||
/**
|
||||
* 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_*/
|
||||
|
|
@ -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_*/
|
||||
|
|
@ -40,7 +40,7 @@
|
|||
#define MOEOCONSTRAINTFITNESSASSIGNMENT_H_
|
||||
|
||||
#include <eoPop.h>
|
||||
#include <fitness/moeoSingleObjectivization.h>
|
||||
#include <scalarStuffs/fitness/moeoSingleObjectivization.h>
|
||||
#include <utils/moeoObjectiveVectorNormalizer.h>
|
||||
|
||||
/*
|
||||
|
|
|
|||
|
|
@ -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_*/
|
||||
|
|
@ -1,140 +0,0 @@
|
|||
/*
|
||||
* <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_*/
|
||||
|
|
@ -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_*/
|
||||
|
|
@ -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_*/
|
||||
Loading…
Add table
Add a link
Reference in a new issue