Migration from SVN
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/*
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* <moeoAugmentedAchievmentScalarizingFunctionDistance.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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* Legillon François
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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,
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* modify and/ or redistribute the software under the terms of the CeCILL
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* license as circulated by CEA, CNRS and INRIA at the following URL
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* "http://www.cecill.info".
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*
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* As a counterpart to the access to the source code and rights to copy,
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* modify and redistribute granted by the license, users are provided only
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* with a limited warranty and the software's author, the holder of the
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* economic rights, and the successive licensors have only limited liability.
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*
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* In this respect, the user's attention is drawn to the risks associated
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* with loading, using, modifying and/or developing or reproducing the
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* software by the user in light of its specific status of free software,
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* that may mean that it is complicated to manipulate, and that also
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* therefore means that it is reserved for developers and experienced
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* professionals having in-depth computer knowledge. Users are therefore
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* encouraged to load and test the software's suitability as regards their
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* requirements in conditions enabling the security of their systems and/or
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* data to be ensured and, more generally, to use and operate it in the
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* same conditions as regards security.
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* The fact that you are presently reading this means that you have had
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* knowledge of the CeCILL license and that you accept its terms.
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*
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* 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 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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