/* * * Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007 * (C) OPAC Team, LIFL, 2002-2007 * * 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 MOEOAUGMENTEDQEXPLWEIGHTSTRAT_H_ #define MOEOAUGMENTEDQEXPLWEIGHTSTRAT_H_ #include #include #include #include /** * Change all weights according to a pattern ressembling to a "double strategy" 2 to 1 then 1 to 2. * Can only be applied to 2 objectives vector problem */ template class moeoAugmentedQexploreWeightStrategy: public moeoVariableWeightStrategy { public: /** * default constructor */ moeoAugmentedQexploreWeightStrategy():depth(0),num(0),reset(true){ nums.resize(1,0); } /** * * @param _weights the weights to change * @param moeot a moeot, not used */ void operator()(std::vector &_weights,const MOEOT &moeot){ int dim=moeot.objectiveVector().size(); bool res=false; int max=dim-1; if (depth==0) do_reset(); while (!res) { res=translate(dim,_weights); next_num(dim); if (nums[0]>max){ do_reset(); } } } private: void next_num(int dim){ int max=dim-1; int idx=nums.size()-1; if (depth==0){ do_reset(); }else{ idx=nums.size()-1; while(idx>0 && nums[idx]==max) idx--; int to_assign=nums[idx]+1; for (unsigned int i=idx;i &_weights){ _weights.clear(); _weights.resize(dim,0); for (unsigned int i=0;i1 && _weights[nums[i]]==depth) { return false; } } bool accept_pow=false; bool accept_prim=false; for (unsigned int i=0;i<_weights.size();i++){ if (accept_pow || (_weights[i]!=1 && !is2pow(_weights[i]))) { accept_pow=true; } if (accept_prim || (coprim(_weights[i],depth))) accept_prim=true; _weights[i]=(_weights[i]+0.0)/(0.0+depth); } return accept_prim && accept_pow; } void do_reset(){ if (depth==0) depth=1; else depth=depth*2; nums.resize(depth); for (unsigned int i=0;i nums; int depth,num; bool reset; }; #endif