/* Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010 Karima Boufaras, Thé Van LUONG 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 */ //Init the number of threads per block #include #include using namespace std; //Include GPU Config File #include "moGPUConfig.h" // The general include for eo #include #include // OneMax full eval function #include //Parallel evaluation of neighborhood on GPU #include // OneMax increment eval function #include // One Max solution #include // Bit neighbor #include // Random with replacement neighborhood #include // The Solution and neighbor comparator #include #include //To compute execution time #include //Algorithm and its components #include #include // The simulated annealing algorithm explorer #include //continuators #include #include #include #include #include //------------------------------------------------------------------------------------ // Define types of the representation solution, different neighbors and neighborhoods //------------------------------------------------------------------------------------ typedef moGPUBitVector solution; typedef moGPUBitNeighbor Neighbor; typedef moGPURndWithReplNeighborhoodByModif Neighborhood; void main_function(int argc, char **argv) { /* ========================================================= * * Parameters * * ========================================================= */ // First define a parser from the command-line arguments eoParser parser(argc, argv); // For each parameter, define Parameter, read it through the parser, // and assign the value to the variable eoValueParam seedParam(time(0), "seed", "Random number seed", 'S'); parser.processParam( seedParam ); unsigned seed = seedParam.value(); // the name of the "status" file where all actual parameter values will be saved string str_status = parser.ProgramName() + ".status"; // default value eoValueParam statusParam(str_status.c_str(), "status", "Status file"); parser.processParam( statusParam, "Persistence" ); // do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED // i.e. in case you need parameters somewhere else, postpone these if (parser.userNeedsHelp()) { parser.printHelp(cout); exit(1); } if (statusParam.value() != "") { ofstream os(statusParam.value().c_str()); os << parser;// and you can use that file as parameter file } /* ========================================================= * * Random seed * * ========================================================= */ //reproducible random seed: if you don't change SEED above, // you'll always get the same result, NOT a random run rng.reseed(seed); /* ========================================================= * * Initilisation of the solution * * ========================================================= */ solution sol(SIZE); /* ========================================================= * * Eval fitness function * * ========================================================= */ EvalOneMax eval; /* ========================================================= * * Evaluation of a solution neighbor's * * ========================================================= */ OneMaxIncrEval incr_eval; moGPUEvalByModif > gpuEval(SIZE,incr_eval); /* ========================================================= * * a solution neighborhood * * ========================================================= */ Neighborhood neighborhood(SIZE,gpuEval); /* ========================================================= * * the cooling schedule of the process * * ========================================================= */ // initial temp, factor of decrease, number of steps without decrease, final temp. moSimpleCoolingSchedule coolingSchedule(500, 0.9, 1000, 0.01); /* ========================================================= * * the local search algorithm * * ========================================================= */ moSA SA(neighborhood, eval, gpuEval,coolingSchedule); /* ========================================================= * * execute the local search from random solution * * ========================================================= */ //init(solution); eval(sol); std::cout << "initial : " << sol << std::endl; moGPUTimer timer; timer.start(); SA(sol); timer.stop(); std::cout << "final : " << sol << std::endl; printf("Execution time = %.2lf s\n",timer.getTime()); } // A main that catc hes the exceptions int main(int argc, char **argv) { try { main_function(argc, argv); } catch (exception& e) { cout << "Exception: " << e.what() << '\n'; } return 1; }