Initial import.
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1986 331e1502-861f-0410-8da2-ba01fb791d7f
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ParadisEO-GPU/tutoriel/OneMax/testSimpleTS.cu
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ParadisEO-GPU/tutoriel/OneMax/testSimpleTS.cu
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//Init the number of threads per block
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#define BLOCK_SIZE 128
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#include <iostream>
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#include <stdlib.h>
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using namespace std;
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// The general include for eo
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#include <eo>
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#include <ga.h>
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// Fitness function
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#include <problems/eval/EvalOneMax.h>
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// Cuda Fitness function
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#include <eval/moCudaVectorEval.h>
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#include <problems/eval/OneMaxIncrEval.h>
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// One Max solution
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#include <cudaType/moCudaBitVector.h>
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//To compute execution time
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#include <performance/moCudaTimer.h>
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// One Max neighbor
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#include <neighborhood/moCudaBitNeighbor.h>
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// One Max ordered neighborhood
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#include <neighborhood/moCudaOrderNeighborhood.h>
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// The Solution and neighbor comparator
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#include <comparator/moNeighborComparator.h>
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#include <comparator/moSolNeighborComparator.h>
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// The time continuator
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#include <continuator/moTimeContinuator.h>
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// Local search algorithm
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#include <algo/moLocalSearch.h>
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// The Tabou Search algorithm explorer
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#include <explorer/moTSexplorer.h>
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//Algorithm and its components
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#include <algo/moTS.h>
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//Tabu list
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#include <memory/moNeighborVectorTabuList.h>
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//Memories
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#include <memory/moDummyIntensification.h>
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#include <memory/moDummyDiversification.h>
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#include <memory/moBestImprAspiration.h>
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// REPRESENTATION
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typedef moCudaBitVector<eoMaximizingFitness> solution;
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typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
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typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
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void main_function(int argc, char **argv)
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{
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/* =========================================================
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*
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* Parameters
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*
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* ========================================================= */
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// First define a parser from the command-line arguments
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eoParser parser(argc, argv);
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// For each parameter, define Parameter, read it through the parser,
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// and assign the value to the variable
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// seed
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eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
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parser.processParam( seedParam );
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unsigned seed = seedParam.value();
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// description of genotype
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eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
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parser.processParam( vecSizeParam, "Representation" );
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unsigned vecSize = vecSizeParam.value();
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// size tabu list
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eoValueParam<unsigned int> sizeTabuListParam(7, "sizeTabuList", "size of the tabu list", 'T');
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parser.processParam( sizeTabuListParam, "Search Parameters" );
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unsigned sizeTabuList = sizeTabuListParam.value();
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// time Limit
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eoValueParam<unsigned int> timeLimitParam(1, "timeLimit", "time limits", 't');
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parser.processParam( timeLimitParam, "Search Parameters" );
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unsigned timeLimit = timeLimitParam.value();
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// the name of the "status" file where all actual parameter values will be saved
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string str_status = parser.ProgramName() + ".status"; // default value
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eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
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parser.processParam( statusParam, "Persistence" );
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// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
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// i.e. in case you need parameters somewhere else, postpone these
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if (parser.userNeedsHelp()) {
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parser.printHelp(cout);
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exit(1);
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}
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if (statusParam.value() != "") {
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ofstream os(statusParam.value().c_str());
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os << parser;// and you can use that file as parameter file
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}
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/* =========================================================
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*
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* Random seed
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*
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* ========================================================= */
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//reproducible random seed: if you don't change SEED above,
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// you'll aways get the same result, NOT a random run
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rng.reseed(seed);
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/* =========================================================
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*
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* Eval fitness function
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*
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* ========================================================= */
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EvalOneMax<solution> eval;
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/* =========================================================
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*
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* Evaluation of a solution neighbor's
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*
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* ========================================================= */
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OneMaxIncrEval<Neighbor> incr_eval;
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moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
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/* =========================================================
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*
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* Comparator of solutions and neighbors
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*
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* ========================================================= */
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moNeighborComparator<Neighbor> comparator;
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moSolNeighborComparator<Neighbor> solComparator;
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/* =========================================================
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*
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* a solution neighborhood
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*
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* ========================================================= */
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Neighborhood neighborhood(vecSize,cueval);
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/* =========================================================
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*
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* continuator
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*
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* ========================================================= */
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moTimeContinuator <Neighbor> continuator(timeLimit);
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/* =========================================================
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*
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* tabu list
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*
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* ========================================================= */
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//moNeighborVectorTabuList<shiftNeighbor> tl(sizeTabuList,0);
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// tabu list
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moNeighborVectorTabuList<Neighbor> tl(sizeTabuList,0);
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/* =========================================================
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*
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* Memories
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*
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* ========================================================= */
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moDummyIntensification<Neighbor> inten;
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moDummyDiversification<Neighbor> div;
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moBestImprAspiration<Neighbor> asp;
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/* =========================================================
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*
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* An explorer of solution neighborhood's
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*
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* ========================================================= */
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moTSexplorer<Neighbor> explorer(neighborhood, cueval, comparator, solComparator, tl, inten, div, asp);
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/* =========================================================
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*
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* the local search algorithm
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*
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* ========================================================= */
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moLocalSearch<Neighbor> localSearch1(explorer, continuator, eval);
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//Basic Constructor
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moTS<Neighbor> localSearch2(neighborhood,eval, cueval, 2, 7);
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//Simple Constructor
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moTS<Neighbor> localSearch3(neighborhood, eval, cueval, 5, tl);
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//General Constructor
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moTS<Neighbor> localSearch4(neighborhood, eval, cueval, comparator, solComparator, continuator, tl, inten, div, asp);
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/* =========================================================
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*
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* Execute the local search(TS) from random sollution
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*
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* ========================================================= */
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//Initilisation of the solution
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solution sol1(vecSize);
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eval(sol1);
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std::cout << "Tabu Search 1:" << std::endl;
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std::cout << "---------------------" << std::endl;
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std::cout << "initial: " << sol1.fitness()<< std::endl;
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moCudaTimer timer1;
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timer1.start();
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localSearch1(sol1);
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timer1.stop();
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printf("CUDA execution time = %f ms\n",timer1.getTime());
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timer1.deleteTimer();
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std::cout << "final: " << sol1.fitness() << std::endl<<std::endl;
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/* =========================================================
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*
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* Execute the TS Basic Constructor
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*
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* ========================================================= */
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solution sol2(vecSize);
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eval(sol2);
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std::cout << "Tabu Search 2:" << std::endl;
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std::cout << "---------------------" << std::endl;
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std::cout << "initial: " << sol2.fitness()<< std::endl;
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moCudaTimer timer2;
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timer2.start();
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localSearch2(sol2);
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timer2.stop();
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printf("CUDA execution time = %f ms\n",timer2.getTime());
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timer2.deleteTimer();
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std::cout << "final: " << sol2.fitness() << std::endl<< std::endl;
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/* =========================================================
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*
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* Execute the TS Simple Constructor
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*
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* ========================================================= */
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solution sol3(vecSize);
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eval(sol3);
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std::cout << "Tabu Search 3:" << std::endl;
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std::cout << "---------------------" << std::endl;
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std::cout << "initial: " << sol3.fitness()<< std::endl;
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moCudaTimer timer3;
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timer3.start();
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localSearch3(sol3);
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timer3.stop();
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printf("CUDA execution time = %f ms\n",timer3.getTime());
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timer3.deleteTimer();
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std::cout << "final: " << sol3.fitness() << std::endl<< std::endl;
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/* =========================================================
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*
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* Execute the TS General Constructor
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*
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* ========================================================= */
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solution sol4(vecSize);
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eval(sol4);
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std::cout << "Tabu Search 4:" << std::endl;
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std::cout << "---------------------" << std::endl;
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std::cout << "initial: " << sol4.fitness()<< std::endl;
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moCudaTimer timer4;
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timer4.start();
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localSearch4(sol4);
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timer4.stop();
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printf("CUDA execution time = %f ms\n",timer4.getTime());
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timer4.deleteTimer();
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std::cout << "final: " << sol4.fitness() << std::endl<< std::endl;
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}
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// A main that catches the exceptions
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int main(int argc, char **argv)
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{
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try{
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main_function(argc, argv);
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}
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catch(exception& e){
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cout << "Exception: " << e.what() << '\n';
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}
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return 1;
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}
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