/* * * Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008 * (C) OPAC Team, LIFL, 2002-2008 * * Arnaud Liefooghe * Jeremie Humeau * * 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 * */ //----------------------------------------------------------------------------- // moeoDominanceCountRankingFitnessAssignment.h //----------------------------------------------------------------------------- #ifndef MOEODOMINANCECOUNTRANKINGFITNESSASSIGNMENT_H_ #define MOEODOMINANCECOUNTRANKINGFITNESSASSIGNMENT_H_ #include #include #include #include #include #include #include #include /** * Fitness assignment sheme that sum-up the ranks of all solutions dominated by each solution. * This strategy is used, for instance, in SPEA2. * E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, * Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001. */ template < class MOEOT > class moeoDominanceCountRankingFitnessAssignment : public moeoDominanceBasedFitnessAssignment < MOEOT > { public: /** the objective vector type of the solutions */ typedef typename MOEOT::ObjectiveVector ObjectiveVector; /** * Default ctor * @param _nocopy boolean to move away copies */ moeoDominanceCountRankingFitnessAssignment(bool _nocopy=true) : comparator(paretoComparator), archive(defaultArchive), matrix(_nocopy) {} /** * Ctor where you can choose your own archive * @param _archive the archive used * @param _nocopy boolean to move away copies */ moeoDominanceCountRankingFitnessAssignment(moeoArchive < MOEOT > & _archive, bool _nocopy=true) : comparator(paretoComparator), archive(_archive), matrix(_nocopy) {} /** * Ctor where you can choose your own way to compare objective vectors * @param _comparator the functor used to compare objective vectors * @param _nocopy boolean to move away copies */ moeoDominanceCountRankingFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, bool _nocopy=true) : comparator(_comparator), archive(defaultArchive), matrix(_comparator, _nocopy) {} /** * Ctor where you can choose your own archive and your own way to compare objective vectors * @param _comparator the functor used to compare objective vectors * @param _archive the archive used * @param _nocopy boolean to move away copies */ moeoDominanceCountRankingFitnessAssignment(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator, moeoArchive < MOEOT > & _archive, bool _nocopy=true) : comparator(_comparator), archive(_archive), matrix(_comparator, _nocopy) {} /** * 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 i= _pop.size(); unsigned int j= archive.size(); matrix(archive,_pop); for (unsigned int k=0; k & _pop, ObjectiveVector & _objVec) { std::cout << "WARNING : updateByDeleting not implemented in moeoDominanceCountRankingFitnessAssignment" << std::endl; } private: /** Functor to compare two objective vectors */ moeoObjectiveVectorComparator < ObjectiveVector > & comparator; /** Functor to compare two objective vectors according to Pareto dominance relation */ moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator; /** Archive to be included in the fitness assignment process */ moeoArchive < MOEOT > & archive; /** Default archive */ moeoUnboundedArchive < MOEOT > defaultArchive; /** Dominance Matrix */ moeoDominanceMatrix matrix; /** * @param _i index of the column */ double countRanking(unsigned int _i) { double res=0; for (unsigned int k=0; k