/* * * 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 * */ //----------------------------------------------------------------------------- // t-moeoNearestNeighborDiversityAssignment.cpp //----------------------------------------------------------------------------- #include #include //----------------------------------------------------------------------------- class ObjectiveVectorTraits : public moeoObjectiveVectorTraits { public: static bool minimizing (int /*i*/) { return true; } static bool maximizing (int /*i*/) { return false; } static unsigned int nObjectives () { return 2; } }; typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector; typedef MOEO < ObjectiveVector, double, double > Solution; //----------------------------------------------------------------------------- int main() { std::cout << "[moeoNearestNeighborDiversityAssignment]\n"; // objective vectors ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6; obj0[0] = 2; obj0[1] = 5; obj1[0] = 3; obj1[1] = 3; obj2[0] = 4; obj2[1] = 1; obj3[0] = 5; obj3[1] = 5; obj4[0] = 5; obj4[1] = 1; obj5[0] = 3; obj5[1] = 3; obj6[0] = 4; obj6[1] = 4; // population eoPop < Solution > pop; pop.resize(4); pop[0].objectiveVector(obj0); // class 1 pop[1].objectiveVector(obj1); // class 1 pop[2].objectiveVector(obj2); // class 1 pop[3].objectiveVector(obj3); // class 3 //archive moeoUnboundedArchive < Solution > archive; archive.resize(3); archive[0].objectiveVector(obj4); archive[1].objectiveVector(obj5); archive[2].objectiveVector(obj6); //distance moeoEuclideanDistance dist; // diversity assignment moeoNearestNeighborDiversityAssignment diversityAssignment; moeoNearestNeighborDiversityAssignment diversityAssignment2(archive, 2); moeoNearestNeighborDiversityAssignment diversityAssignment3(dist); moeoNearestNeighborDiversityAssignment diversityAssignment4(dist,archive, 2); int res=EXIT_SUCCESS; for (unsigned int i=0; i<2; i++) { float tmp1=0; float tmp2=0; if (i==0) { diversityAssignment(pop); // pop[0] tmp1=pop[0].diversity(); tmp2=-1/(2+sqrt(5.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[0])" << std::endl; res=EXIT_FAILURE; } // pop[1] tmp1=pop[1].diversity(); tmp2=-1/(2+sqrt(5.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[1])" << std::endl; res=EXIT_FAILURE; } // pop[2] tmp1=pop[2].diversity(); tmp2=-1/(2+sqrt(5.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[2])" << std::endl; res=EXIT_FAILURE; } // pop[3] tmp1=pop[3].diversity(); tmp2=-1/(2+sqrt(8.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[3]) " << std::endl; res=EXIT_FAILURE; } } else { diversityAssignment4(pop); // pop[0] tmp1=pop[0].diversity(); tmp2=-1/(2+sqrt(5.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[0])" << std::endl; res=EXIT_FAILURE; } // pop[1] tmp1=pop[1].diversity(); tmp2=-1/(2+sqrt(2.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[1])" << std::endl; res=EXIT_FAILURE; } // pop[2] tmp1=pop[2].diversity(); tmp2=-1/(2+sqrt(5.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[2])" << std::endl; res=EXIT_FAILURE; } // pop[3] tmp1=pop[3].diversity(); tmp2=-1/(2+sqrt(8.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for pop[3]) " << std::endl; res=EXIT_FAILURE; } // archive[0] tmp1=archive[0].diversity(); tmp2=-1/(2+sqrt(8.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity archive[0])" << std::endl; res=EXIT_FAILURE; } // archive[1] tmp1=archive[1].diversity(); tmp2=-1/(2+sqrt(2.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for archive[1])" << std::endl; res=EXIT_FAILURE; } // archive[2] tmp1=archive[2].diversity(); tmp2=-1/(2+sqrt(2.0)); if (tmp1 != tmp2) { std::cout << "ERROR (bad diversity for archive[2])" << std::endl; res=EXIT_FAILURE; } } } std::cout << "OK" << std::endl; return res; } //-----------------------------------------------------------------------------