/* 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 */ #include #include #include using namespace std; //Include GPU Config File #include "moGPUConfig.h" __device__ int * dev_a; __device__ int * dev_b; // The general include for eo #include #include // Fitness function #include // Cuda Fitness function #include #include //Specific data to QAP problem #include // QAP solution #include // Swap neighbor #include //To compute execution time #include //Utils to compute size Mapping of x-change position #include // Use an ordered neighborhood without mapping, with local copy of solution #include // The Solution and neighbor comparator #include #include // The Iter continuator #include // The Tabou Search algorithm #include //Tabu list #include //Memories #include #include #include typedef moGPUPermutationVector solution; typedef moGPUXSwapNeighbor Neighbor; typedef moGPUXChangeNeighborhoodByCpy Neighborhood; int main(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 // seed eoValueParam seedParam(time(0), "seed", "Random number seed", 'S'); parser.processParam( seedParam ); unsigned seed = seedParam.value(); // Iteration number eoValueParam nbIterationParam(1, "nbIteration", "TS Iteration number", 'I'); parser.processParam( nbIterationParam, "TS Iteration number" ); unsigned nbIteration = nbIterationParam.value(); // duration tabu list eoValueParam durationParam(7, "duration", "duration of the tabu list", 'D'); parser.processParam( durationParam, "Search Parameters" ); unsigned duration = durationParam.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 aways get the same result, NOT a random run rng.reseed(seed); /* ========================================================= * * Initilisation of QAP data * * ========================================================= */ QAPData _data(argv[1]); /* ========================================================= * * Initilisation of the solution * * ========================================================= */ solution sol(_data.sizeData); _data.GPUObject.memCopyGlobalVariable(dev_a,_data.a_d); _data.GPUObject.memCopyGlobalVariable(dev_b,_data.b_d); /*========================================================= * * Evaluation of a solution neighbor's * * ========================================================= */ QAPEval eval(_data); unsigned long int sizeMap=sizeMapping(_data.sizeData,NB_POS); QAPIncrEval incr_eval; moGPUMappingEvalByCpy > cueval(sizeMap,incr_eval); /* ========================================================= * * Comparator of solutions and neighbors * * ========================================================= */ moNeighborComparator comparator; moSolNeighborComparator solComparator; /* ========================================================= * * a solution neighborhood * * ========================================================= */ Neighborhood neighborhood(sizeMap,NB_POS,cueval); /* ========================================================= * * continuator * * ========================================================= */ moIterContinuator continuator(nbIteration); /* ========================================================= * * tabu list * * ========================================================= */ moIndexedVectorTabuList tl(sizeMap,(sizeMap/8)); /* ========================================================= * * Memories * * ========================================================= */ moDummyIntensification inten; moDummyDiversification div; moBestImprAspiration asp; /* ========================================================= * * The Tabu search algorithm * * ========================================================= */ moTS tabuSearch(neighborhood, eval, cueval, comparator, solComparator, continuator, tl, inten, div, asp); /* ========================================================= * * Execute the local search from random sollution * * ========================================================= */ //Can be eval here, else it will be done at the beginning of the localSearch eval(sol); std::cout << "initial: " << sol<< std::endl; moGPUTimer timer; timer.start(); tabuSearch(sol); std::cout << "final: " << sol << std::endl; timer.stop(); printf("Execution time = %.2lf s\n",timer.getTime()); _data.GPUObject.free(dev_a); _data.GPUObject.free(dev_b); return 0; }