167 lines
6.1 KiB
C++
167 lines
6.1 KiB
C++
/*
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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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*
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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,
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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 MOEOSHARINGDIVERSITYASSIGNMENT_H_
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#define MOEOSHARINGDIVERSITYASSIGNMENT_H_
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#include <eoPop.h>
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#include <comparator/moeoDiversityThenFitnessComparator.h>
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#include <distance/moeoDistance.h>
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#include <distance/moeoDistanceMatrix.h>
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#include <distance/moeoEuclideanDistance.h>
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#include <diversity/moeoDiversityAssignment.h>
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/**
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* Sharing assignment scheme originally porposed by:
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* D. E. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addision-Wesley, MA, USA (1989).
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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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/** the objective vector type of the solutions */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/**
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* Ctor
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* @param _distance the distance used to compute the neighborhood of solutions (can be related to the decision space or the objective space)
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* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
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* @param _alpha parameter used to regulate the shape of the sharing function
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*/
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moeoSharingDiversityAssignment(moeoDistance<MOEOT,double> & _distance, double _nicheSize = 0.5, double _alpha = 1.0) : distance(_distance), nicheSize(_nicheSize), alpha(_alpha)
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{}
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/**
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* Ctor with an euclidean distance (with normalized objective values) in the objective space is used as default
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* @param _nicheSize neighborhood size in terms of radius distance (closely related to the way the distances are computed)
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* @param _alpha parameter used to regulate the shape of the sharing function
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*/
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moeoSharingDiversityAssignment(double _nicheSize = 0.5, double _alpha = 1.0) : distance(defaultDistance), nicheSize(_nicheSize), alpha(_alpha)
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{}
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/**
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* Sets diversity 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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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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{
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_pop[i].diversity(max - _pop[i].diversity());
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}
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}
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/**
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* @warning NOT IMPLEMENTED, DO NOTHING !
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* Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
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* @param _pop the population
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* @param _objVec the objective vector
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* @warning NOT IMPLEMENTED, DO NOTHING !
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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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}
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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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/** euclidean distancein the objective space (can be used as default) */
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moeoEuclideanDistance < MOEOT > defaultDistance;
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/** neighborhood size in terms of radius distance */
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double nicheSize;
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/** parameter used to regulate the shape of the sharing function */
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double alpha;
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/**
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* Sets similarities 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 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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{
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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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}
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_pop[i].diversity(sum);
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}
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}
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/**
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* Sharing function
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* @param _dist the distance value
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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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{
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result = 1.0 - pow(_dist / nicheSize, alpha);
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}
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else
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{
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result = 0.0;
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}
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return result;
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}
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};
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#endif /*MOEOSHARINGDIVERSITYASSIGNMENT_H_*/
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