Fitness assignment schemes added
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1620 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
jhumeau
parent
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19 changed files with 1845 additions and 80 deletions
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@ -0,0 +1,109 @@
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/*
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* <moeoAchievementScalarizingFunctionDistance.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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* Jeremie Humeau
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* Arnaud Liefooghe
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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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#ifndef MOEOASFADIST_H_
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#define MOEOASFADIST_H_
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#include <utils/moeoObjectiveVectorNormalizer.h>
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/**
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Achievment scalarizing function aproach to calculate a distance
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*/
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template < class MOEOT>
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class moeoAchievementScalarizingFunctionDistance : public moeoObjSpaceDistance< MOEOT >
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{
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public:
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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typedef typename MOEOT::Fitness Fitness;
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/**
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constructor with a normalizer
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@param _rho
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@param _weight the weight to apply to each dimension
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@param _normalizer the normalizer
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*/
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moeoAchievementScalarizingFunctionDistance(unsigned int _rho, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): normalizer(_normalizer), weight(_weight), rho(_rho){}
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/**
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constructor without a normalizer
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@param _rho
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@param _weight the weight to apply to each dimension
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*/
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moeoAchievementScalarizingFunctionDistance(unsigned int _rho, const ObjectiveVector& _weight): normalizer(defaultNormalizer), weight(_weight), rho(_rho){}
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/**
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fonction which calculate the distance
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@param _obj the point to evaluate
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@param _reference the reference to calculate the distance from
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@return the fitness conrresponding to the distance
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*/
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const Fitness operator()(const ObjectiveVector& _reference, const ObjectiveVector& _obj){
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unsigned int dim=_obj.size();
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ObjectiveVector tmp1(_reference);
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ObjectiveVector tmp2(_obj);
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Fitness max=iteration(tmp2,tmp1,0,_obj.minimizing(0));
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Fitness res=max;
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for (unsigned i=0;i<dim;i++){
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res=iteration(_obj,_reference,i,_obj.minimizing(i));
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if (max<res)
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max=res;
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}
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return max;
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}
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private:
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moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
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moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
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const ObjectiveVector &weight;
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double rho;
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Fitness iteration(const ObjectiveVector &obj, const ObjectiveVector& reference, int dim, bool mini){
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ObjectiveVector obj_norm=normalizer(obj);
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ObjectiveVector ref_norm=normalizer(reference);
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Fitness res;
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if (mini){
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res=(obj_norm[dim]-ref_norm[dim]);
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}else{
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res=(ref_norm[dim]-obj_norm[dim]);
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}
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res=weight[dim]*res;
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return res;
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}
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};
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#endif
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@ -0,0 +1,111 @@
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/*
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* <moeoAugmentedAchievmentScalarizingFunctionDistance.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* Jeremie Humeau
|
||||
* Arnaud Liefooghe
|
||||
* Legillon François
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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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#ifndef MOEOASFAORDIST_H_
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#define MOEOASFAORDIST_H_
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#include <eo>
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#include <moeo>
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#include <cmath>
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/**
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Order representing Achievment scalarizing function aproach to calculate a metric
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*/
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template < class MOEOT>
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class moeoAugmentedAchievementScalarizingFunctionDistance : public moeoObjSpaceDistance< MOEOT >
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{
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public:
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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typedef typename MOEOT::Fitness Fitness;
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/**
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constructor with a normalizer
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@param _rho
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@param _weight the weight to apply to each dimansion
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@param _normalizer the normalizer
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*/
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moeoAugmentedAchievementScalarizingFunctionDistance(unsigned int _rho,const ObjectiveVector &_weight,moeoObjectiveVectorNormalizer<MOEOT> &_normalizer): normalizer(_normalizer),weight(_weight),rho(_rho)
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{}
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/**
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constructor without a normalizer
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@param _rho
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@param _weight the weight to apply to each dimansion
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*/
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moeoAugmentedAchievementScalarizingFunctionDistance(unsigned int _rho,const ObjectiveVector &_weight): normalizer(defaultNormalizer),weight(_weight),rho(_rho)
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{}
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/**
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fonction which apply the metric to calculate a fitness
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@param _reference the reference point to calculate the distance
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@param _obj the point to evaluate
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@return the fitness conrresponding to the distance
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*/
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const Fitness operator()(const ObjectiveVector &_reference,const ObjectiveVector &_obj){
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unsigned int dim=_obj.size();
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Fitness res=0;
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Fitness max=iteration(_obj,_reference,0,_obj.minimizing(0));
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for (unsigned i=0;i<dim;i++){
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Fitness tmp=iteration(_obj,_reference,i,_obj.minimizing(i));
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if (max<tmp)
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max=tmp;
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res+=tmp;
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}
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return res+rho*max;
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}
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private:
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moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
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moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
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const ObjectiveVector &weight;
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double rho;
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Fitness iteration(const ObjectiveVector &obj,const ObjectiveVector &reference,int dim,bool mini){
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ObjectiveVector obj_norm=normalizer(obj);
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ObjectiveVector ref_norm=normalizer(reference);
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Fitness res;
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if (mini){
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res=obj_norm[dim]-ref_norm[dim];
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}else{
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res=ref_norm[dim]-obj_norm[dim];
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}
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res=weight[dim]*res;
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return res;
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}
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};
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#endif
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@ -0,0 +1,102 @@
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/*
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* <moeoAugmentedWeightedChebychevDistance.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* François Legillon
|
||||
* Jeremie Humeau
|
||||
* Arnaud Liefooghe
|
||||
*
|
||||
* This software is governed by the CeCILL license under French law and
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
* "http://www.cecill.info".
|
||||
*
|
||||
* As a counterpart to the access to the source code and rights to copy,
|
||||
* modify and redistribute granted by the license, users are provided only
|
||||
* with a limited warranty and the software's author, the holder of the
|
||||
* economic rights, and the successive licensors have only limited liability.
|
||||
*
|
||||
* In this respect, the user's attention is drawn to the risks associated
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* software by the user in light of its specific status of free software,
|
||||
* that may mean that it is complicated to manipulate, and that also
|
||||
* therefore means that it is reserved for developers and experienced
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* knowledge of the CeCILL license and that you accept its terms.
|
||||
*
|
||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
* Contact: paradiseo-help@lists.gforge.inria.fr
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||||
*
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||||
*/
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//-----------------------------------------------------------------------------
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#ifndef MOEOCHEBYCHEVORDIST_H_
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#define MOEOCHEBYCHEVORDIST_H_
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#include <distance/moeoObjSpaceDistance.h>
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/**
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order representing chebychev distance
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*/
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template < class MOEOT>
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class moeoAugmentedWeightedChebychevDistance : public moeoObjSpaceDistance < MOEOT >
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{
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public:
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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typedef typename MOEOT::Fitness Fitness;
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/**
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constructor with a normalizer
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@param _rho
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@param _weight the weight to apply to each dimension
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@param _normalizer the normalizer
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*/
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moeoAugmentedWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): normalizer(_normalizer), weight(_weight), rho(_rho){}
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/**
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constructor with a dummy normalizer
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@param _rho
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@param _weight the weight to apply to each dimension
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*/
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moeoAugmentedWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight): normalizer(defaultNormalizer), weight(_weight), rho(_rho){}
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/**
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fonction which calculate a fitness
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@param _reference the reference to calculate the distance from
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@param _obj the point to evaluate
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@return the fitness conrresponding to the distance
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*/
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const Fitness operator()(const ObjectiveVector& _reference, const ObjectiveVector& _obj){
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unsigned int dim=_obj.size();
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Fitness res=iteration(_obj,_reference,0);
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Fitness max=res*weight[0];
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for (unsigned i=1;i<dim;i++){
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Fitness tmp=iteration(_obj,_reference,i);
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if (tmp*weight[i]>max)
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max=tmp*weight[i];
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res+=tmp;
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}
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res=res*rho+max;
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return res;
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}
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private:
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moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
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moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
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const ObjectiveVector &weight;
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double rho;
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Fitness iteration(const ObjectiveVector &obj,const ObjectiveVector &reference,int dim){
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ObjectiveVector obj_norm=normalizer(obj);
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ObjectiveVector ref_norm=normalizer(reference);
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Fitness res=abs(obj_norm[dim]-ref_norm[dim]);
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return res;
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}
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};
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#endif
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@ -4,6 +4,7 @@
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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||||
* 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,
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@ -39,52 +40,48 @@
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#define MOEOEUCLIDEANDISTANCE_H_
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#include <math.h>
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#include <distance/moeoNormalizedDistance.h>
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#include <distance/moeoObjSpaceDistance.h>
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#include <utils/moeoObjectiveVectorNormalizer.h>
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/**
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* A class allowing to compute an euclidian distance between two solutions in the objective space with normalized objective values (i.e. between 0 and 1).
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* A distance value then lies between 0 and sqrt(nObjectives).
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*/
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template < class MOEOT >
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class moeoEuclideanDistance : public moeoNormalizedDistance < MOEOT >
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class moeoEuclideanDistance : public moeoObjSpaceDistance < 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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/** the fitness type of the solutions */
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typedef typename MOEOT::Fitness Fitness;
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/**
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* Returns the euclidian distance between _moeo1 and _moeo2 in the objective space
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* @param _moeo1 the first solution
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* @param _moeo2 the second solution
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*/
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const double operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
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{
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double result = 0.0;
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double tmp1, tmp2;
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for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
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{
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tmp1 = (_moeo1.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
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tmp2 = (_moeo2.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
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result += (tmp1-tmp2) * (tmp1-tmp2);
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}
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return sqrt(result);
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}
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ctr with a normalizer
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@param _normalizer the normalizer used for every ObjectiveVector
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*/
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moeoEuclideanDistance (moeoObjectiveVectorNormalizer<MOEOT> _normalizer):normalizer(_normalizer)
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{}
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/**
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default ctr
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*/
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moeoEuclideanDistance ():normalizer(defaultNormalizer)
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{}
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/**
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* Returns the euclidian distance between _obj1 and _obj2
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* Returns the euclidian distance between _obj1 and _obj2 in the objective space
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* @param _obj1 the first objective vector
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* @param _obj2 the second objective vector
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*/
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const double operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2)
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const Fitness operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2)
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{
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double result = 0.0;
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double tmp1, tmp2;
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Fitness result = 0.0;
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Fitness tmp1, tmp2;
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for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
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{
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tmp1 = (_obj1[i] - bounds[i].minimum()) / bounds[i].range();
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tmp2 = (_obj2[i] - bounds[i].minimum()) / bounds[i].range();
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tmp1 = normalizer(_obj1)[i];
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tmp2 = normalizer(_obj2)[i];
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result += (tmp1-tmp2) * (tmp1-tmp2);
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}
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return sqrt(result);
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@ -93,8 +90,8 @@ class moeoEuclideanDistance : public moeoNormalizedDistance < MOEOT >
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private:
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/** the bounds for every objective */
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using moeoNormalizedDistance < MOEOT > :: bounds;
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moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
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moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
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};
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|
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@ -4,6 +4,7 @@
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* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* Arnaud Liefooghe
|
||||
* Francçois Legillon
|
||||
*
|
||||
* This software is governed by the CeCILL license under French law and
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
|
|
@ -39,34 +40,48 @@
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#define MOEOMANHATTANDISTANCE_H_
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#include <math.h>
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#include <distance/moeoNormalizedDistance.h>
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#include <distance/moeoObjSpaceDistance.h>
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||||
#include <utils/moeoObjectiveVectorNormalizer.h>
|
||||
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/**
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* A class allowing to compute the Manhattan distance between two solutions in the objective space normalized objective values (i.e. between 0 and 1).
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||||
* A distance value then lies between 0 and nObjectives.
|
||||
*/
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template < class MOEOT >
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class moeoManhattanDistance : public moeoNormalizedDistance < MOEOT >
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||||
class moeoManhattanDistance : public moeoObjSpaceDistance < MOEOT >
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||||
{
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||||
public:
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||||
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/** the objective vector type of the solutions */
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||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
||||
/** the fitness type of the solutions */
|
||||
typedef typename MOEOT::Fitness Fitness;
|
||||
|
||||
/**
|
||||
* Returns the Manhattan distance between _moeo1 and _moeo2 in the objective space
|
||||
* @param _moeo1 the first solution
|
||||
* @param _moeo2 the second solution
|
||||
ctr with a normalizer
|
||||
@param _normalizer the normalizer used for every ObjectiveVector
|
||||
*/
|
||||
moeoManhattanDistance (moeoObjectiveVectorNormalizer<MOEOT> &_normalizer):normalizer(_normalizer)
|
||||
{}
|
||||
/**
|
||||
default ctr
|
||||
*/
|
||||
moeoManhattanDistance ():normalizer(defaultNormalizer)
|
||||
{}
|
||||
|
||||
/**
|
||||
* Returns the Manhattan distance between _obj1 and _obj2 in the objective space
|
||||
* @param _obj1 the first objective vector
|
||||
* @param _obj2 the second objective vector
|
||||
*/
|
||||
const double operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
const double operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2)
|
||||
{
|
||||
double result = 0.0;
|
||||
double tmp1, tmp2;
|
||||
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
|
||||
{
|
||||
tmp1 = (_moeo1.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
|
||||
tmp2 = (_moeo2.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
|
||||
tmp1 = normalizer(_obj1)[i];
|
||||
tmp2 = normalizer(_obj2)[i];
|
||||
result += fabs(tmp1-tmp2);
|
||||
}
|
||||
return result;
|
||||
|
|
@ -75,8 +90,8 @@ class moeoManhattanDistance : public moeoNormalizedDistance < MOEOT >
|
|||
|
||||
private:
|
||||
|
||||
/** the bounds for every objective */
|
||||
using moeoNormalizedDistance < MOEOT > :: bounds;
|
||||
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
|
||||
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
|
||||
|
||||
};
|
||||
|
||||
|
|
|
|||
63
trunk/paradiseo-moeo/src/distance/moeoObjSpaceDistance.h
Normal file
63
trunk/paradiseo-moeo/src/distance/moeoObjSpaceDistance.h
Normal file
|
|
@ -0,0 +1,63 @@
|
|||
/*
|
||||
* <moeoObjSpaceDistance.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* Jeremie Humeau
|
||||
* Arnaud Liefooghe
|
||||
* François Legillon
|
||||
*
|
||||
* This software is governed by the CeCILL license under French law and
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
* "http://www.cecill.info".
|
||||
*
|
||||
* As a counterpart to the access to the source code and rights to copy,
|
||||
* modify and redistribute granted by the license, users are provided only
|
||||
* with a limited warranty and the software's author, the holder of the
|
||||
* economic rights, and the successive licensors have only limited liability.
|
||||
*
|
||||
* In this respect, the user's attention is drawn to the risks associated
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* software by the user in light of its specific status of free software,
|
||||
* that may mean that it is complicated to manipulate, and that also
|
||||
* therefore means that it is reserved for developers and experienced
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* knowledge of the CeCILL license and that you accept its terms.
|
||||
*
|
||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
||||
*
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
#ifndef MOEOOBJDIST_H_
|
||||
#define MOEOOBJDIST_H_
|
||||
|
||||
|
||||
#include <eo>
|
||||
#include <moeo>
|
||||
#include <cmath>
|
||||
|
||||
/**
|
||||
Distances using Objective vectors to evaluate
|
||||
*/
|
||||
template < class MOEOT>
|
||||
class moeoObjSpaceDistance : public moeoDistance < MOEOT, typename MOEOT::Fitness >, public eoBF<const typename MOEOT::ObjectiveVector&,const typename MOEOT::ObjectiveVector&,const typename MOEOT::Fitness>
|
||||
{
|
||||
public:
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
typedef typename MOEOT::Fitness Fitness;
|
||||
|
||||
virtual const Fitness operator()(const MOEOT &_moeot1,const MOEOT &_moeot2){
|
||||
return operator()(_moeot1.objectiveVector(),_moeot2.objectiveVector());
|
||||
}
|
||||
|
||||
virtual const Fitness operator()(const ObjectiveVector &_obj1, const ObjectiveVector &_obj2)=0;
|
||||
};
|
||||
#endif
|
||||
|
|
@ -0,0 +1,101 @@
|
|||
/*
|
||||
* <moeoWeightedChebychevDistance.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
*
|
||||
* Jeremie Humeau
|
||||
* Arnaud Liefooghe
|
||||
* François Legillon
|
||||
*
|
||||
* This software is governed by the CeCILL license under French law and
|
||||
* abiding by the rules of distribution of free software. You can use,
|
||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
||||
* "http://www.cecill.info".
|
||||
*
|
||||
* As a counterpart to the access to the source code and rights to copy,
|
||||
* modify and redistribute granted by the license, users are provided only
|
||||
* with a limited warranty and the software's author, the holder of the
|
||||
* economic rights, and the successive licensors have only limited liability.
|
||||
*
|
||||
* In this respect, the user's attention is drawn to the risks associated
|
||||
* with loading, using, modifying and/or developing or reproducing the
|
||||
* software by the user in light of its specific status of free software,
|
||||
* that may mean that it is complicated to manipulate, and that also
|
||||
* therefore means that it is reserved for developers and experienced
|
||||
* professionals having in-depth computer knowledge. Users are therefore
|
||||
* encouraged to load and test the software's suitability as regards their
|
||||
* requirements in conditions enabling the security of their systems and/or
|
||||
* data to be ensured and, more generally, to use and operate it in the
|
||||
* same conditions as regards security.
|
||||
* The fact that you are presently reading this means that you have had
|
||||
* knowledge of the CeCILL license and that you accept its terms.
|
||||
*
|
||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
||||
*
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
#ifndef MOEOCHEBYCHEVDIST_H_
|
||||
#define MOEOCHEBYCHEVDIST_H_
|
||||
|
||||
|
||||
#include <eo>
|
||||
#include <moeo>
|
||||
#include <cmath>
|
||||
/**
|
||||
* weighted chebychev distance
|
||||
*/
|
||||
template < class MOEOT>
|
||||
class moeoWeightedChebychevDistance : public moeoObjSpaceDistance < MOEOT >
|
||||
{
|
||||
public:
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
typedef typename MOEOT::Fitness Fitness;
|
||||
|
||||
/**
|
||||
* constructor with a normalizer
|
||||
* @param _rho
|
||||
* @param _weight the weight to apply to each dimansion
|
||||
* @param _normalizer the normalizer
|
||||
*/
|
||||
moeoWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight, moeoObjectiveVectorNormalizer<MOEOT>& _normalizer): normalizer(_normalizer), weight(_weight), rho(_rho){}
|
||||
|
||||
/**
|
||||
* constructor with a normalizer
|
||||
* @param _rho
|
||||
* @param _weight the weight to apply to each dimansion
|
||||
*/
|
||||
moeoWeightedChebychevDistance(unsigned int _rho, const ObjectiveVector& _weight): normalizer(defaultNormalizer), weight(_weight), rho(_rho){}
|
||||
|
||||
/**
|
||||
* fonction which apply the metric to calculate a fitness
|
||||
* @param _obj the point to evaluate
|
||||
* @param _reference the reference to calculate the distance from
|
||||
* @return the fitness conrresponding to the distance
|
||||
*/
|
||||
const Fitness operator()(const ObjectiveVector& _reference, const ObjectiveVector& _obj){
|
||||
unsigned int dim=_obj.size();
|
||||
Fitness res=0;
|
||||
ObjectiveVector obj_norm=normalizer(_obj);
|
||||
ObjectiveVector ref_norm=normalizer(_reference);
|
||||
for (unsigned i=0;i<dim;i++){
|
||||
res+=iteration(obj_norm,ref_norm,i);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
private:
|
||||
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
|
||||
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
|
||||
const ObjectiveVector &weight;
|
||||
double rho;
|
||||
|
||||
Fitness iteration(const ObjectiveVector &obj,const ObjectiveVector &reference,int dim){
|
||||
Fitness res=abs(obj[dim]-reference[dim]);
|
||||
res=weight[dim]*pow(res,rho);
|
||||
res=pow(res,1/rho);
|
||||
return res;
|
||||
}
|
||||
};
|
||||
#endif
|
||||
Loading…
Add table
Add a link
Reference in a new issue