/* * * Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007 * (C) OPAC Team, LIFL, 2002-2007 * * 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 MOEOEUCLIDEANDISTANCE_H_ #define MOEOEUCLIDEANDISTANCE_H_ #include #include #include /** * 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). * A distance value then lies between 0 and sqrt(nObjectives). */ template < class MOEOT > class moeoEuclideanDistance : public moeoObjSpaceDistance < MOEOT > { public: /** the objective vector type of the solutions */ typedef typename MOEOT::ObjectiveVector ObjectiveVector; /** the fitness type of the solutions */ typedef typename MOEOT::Fitness Fitness; /** ctr with a normalizer @param _normalizer the normalizer used for every ObjectiveVector */ moeoEuclideanDistance (moeoObjectiveVectorNormalizer _normalizer):normalizer(_normalizer) {} /** default ctr */ moeoEuclideanDistance ():normalizer(defaultNormalizer) {} /** * Returns the euclidian distance between _obj1 and _obj2 in the objective space * @param _obj1 the first objective vector * @param _obj2 the second objective vector */ const Fitness operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2) { Fitness result = 0.0; Fitness tmp1, tmp2; for (unsigned int i=0; i defaultNormalizer; moeoObjectiveVectorNormalizer &normalizer; }; #endif /*MOEOEUCLIDEANDISTANCE_H_*/