New style for MOEO
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@788 331e1502-861f-0410-8da2-ba01fb791d7f
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103 changed files with 2607 additions and 2521 deletions
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@ -1,4 +1,4 @@
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/*
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/*
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* <moeoSharingDiversityAssignment.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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@ -51,8 +51,8 @@
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*/
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template < class MOEOT >
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class moeoSharingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
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{
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public:
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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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@ -83,14 +83,14 @@ public:
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*/
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void operator()(eoPop < MOEOT > & _pop)
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{
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// 1 - set simuilarities
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setSimilarities(_pop);
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// 2 - a higher diversity is better, so the values need to be inverted
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moeoDiversityThenFitnessComparator < MOEOT > divComparator;
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double max = std::max_element(_pop.begin(), _pop.end(), divComparator)->diversity();
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for (unsigned int i=0 ; i<_pop.size() ; i++)
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// 1 - set simuilarities
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setSimilarities(_pop);
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// 2 - a higher diversity is better, so the values need to be inverted
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moeoDiversityThenFitnessComparator < MOEOT > divComparator;
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double max = std::max_element(_pop.begin(), _pop.end(), divComparator)->diversity();
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for (unsigned int i=0 ; i<_pop.size() ; i++)
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{
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_pop[i].diversity(max - _pop[i].diversity());
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_pop[i].diversity(max - _pop[i].diversity());
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}
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}
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@ -104,11 +104,11 @@ public:
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*/
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void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
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{
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std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
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std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
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}
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protected:
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protected:
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/** the distance used to compute the neighborhood of solutions */
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moeoDistance < MOEOT , double > & distance;
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@ -126,19 +126,19 @@ protected:
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*/
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virtual void setSimilarities(eoPop < MOEOT > & _pop)
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{
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// compute distances between every individuals
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moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
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dMatrix(_pop);
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// compute similarities
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double sum;
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for (unsigned int i=0; i<_pop.size(); i++)
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// compute distances between every individuals
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moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
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dMatrix(_pop);
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// compute similarities
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double sum;
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for (unsigned int i=0; i<_pop.size(); i++)
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{
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sum = 0.0;
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for (unsigned int j=0; j<_pop.size(); j++)
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sum = 0.0;
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for (unsigned int j=0; j<_pop.size(); j++)
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{
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sum += sh(dMatrix[i][j]);
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sum += sh(dMatrix[i][j]);
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}
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_pop[i].diversity(sum);
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_pop[i].diversity(sum);
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}
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}
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@ -149,19 +149,19 @@ protected:
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*/
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double sh(double _dist)
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{
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double result;
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if (_dist < nicheSize)
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double result;
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if (_dist < nicheSize)
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{
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result = 1.0 - pow(_dist / nicheSize, alpha);
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result = 1.0 - pow(_dist / nicheSize, alpha);
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}
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else
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else
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{
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result = 0.0;
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result = 0.0;
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}
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return result;
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return result;
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}
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};
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};
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#endif /*MOEOSHARINGDIVERSITYASSIGNMENT_H_*/
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