/* * * Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008 * (C) OPAC Team, LIFL, 2002-2008 * * Arnaud Liefooghe * Jeremie Humeau * Francois 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 * */ //----------------------------------------------------------------------------- // t-moeoAggregationFitnessAssignment.cpp //----------------------------------------------------------------------------- #include #include #include //----------------------------------------------------------------------------- class ObjectiveVectorTraits : public moeoObjectiveVectorTraits { public: static bool minimizing (int /*i*/) { return false; } static bool maximizing (int /*i*/) { return true; } static unsigned int nObjectives () { return 2; } }; typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector; typedef MOEO < ObjectiveVector, double, double > Solution; class DummyEval: public eoEvalFunc{ void operator()(Solution &/*moeo*/){ } } eval; //----------------------------------------------------------------------------- int main() { std::cout << "[moeoChebyshevMetric] => "; // objective vectors ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6; obj0[0] = 3; obj0[1] = 3; obj1[0] = 2; obj1[1] = 2; obj2[0] = 1; obj2[1] = 1; obj4[0] = 0; obj4[1] = 0; std::vector poids; poids.resize(2); poids[0]=2; poids[1]=3; ObjectiveVector obj_poids(poids); // population eoPop < Solution > pop; pop.resize(3); pop[0].objectiveVector(obj0); pop[1].objectiveVector(obj1); pop[2].objectiveVector(obj2); Solution reference; reference.objectiveVector(obj4); unsigned int rho=2; moeoObjectiveVectorNormalizer normalizer(pop,10); moeoWeightedChebychevMetricFitnessAssignment fitness(rho,obj4,obj_poids,normalizer); moeoWeightedChebychevMetricFitnessAssignment fitness2(rho,obj4,obj_poids); moeoWeightedChebychevMetricFitnessAssignment fitness3(rho,obj4,obj_poids,eval); moeoWeightedChebychevMetricFitnessAssignment fitness4(rho,obj4,obj_poids,normalizer,eval); fitness(pop); fitness(reference); assert(pop[0].fitness()