///Init the number of threads per block #define BLOCK_SIZE 128 //----------------------------------------------------------------------------- #include #include using namespace std; // The general include for eo #include #include // Fitness function #include // Cuda Fitness function #include #include // One Max solution #include //To compute execution time #include // One Max neighbor #include // One Max ordered neighborhood #include //Algorithm and its components #include #include // The simulated annealing algorithm explorer #include //comparator #include //continuators #include #include #include #include #include //----------------------------------------------------------------------------- // Define types of the representation solution, different neighbors and neighborhoods //----------------------------------------------------------------------------- // REPRESENTATION typedef moCudaBitVector solution; typedef moCudaBitNeighbor Neighbor; typedef moCudaRndWithReplNeighborhood 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(); // description of genotype eoValueParam vecSizeParam(8, "vecSize", "Genotype size", 'V'); parser.processParam( vecSizeParam, "Representation" ); unsigned vecSize = vecSizeParam.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); solution sol(vecSize); for(int i=0;i eval; /* ========================================================= * * Evaluation of a solution neighbor's * * ========================================================= */ OneMaxIncrEval incr_eval; moCudaVectorEval > cueval(vecSize,incr_eval); /* ========================================================= * * Comparator of solutions and neighbors * * ========================================================= */ // moNeighborComparator comparator; moSolNeighborComparator solComparator; /* ========================================================= * * a solution neighborhood * * ========================================================= */ Neighborhood neighborhood(vecSize,cueval); /* ========================================================= * * 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 localSearch1(neighborhood, eval, cueval,coolingSchedule); /* ========================================================= * * execute the local search from random solution * * ========================================================= */ //init(solution); eval(sol); std::cout << "#########################################" << std::endl; std::cout << "initial solution1: " << sol.fitness() << std::endl; localSearch1(sol); std::cout << "final solution1: " << sol.fitness() << std::endl; std::cout << "#########################################" << std::endl; /* ========================================================= * * Comparator of neighbors * * ========================================================= */ // moSolNeighborComparator solComparator; /* ========================================================= * * Example of Checkpointing * * ========================================================= */ /*moTrueContinuator continuator;//always continue moCheckpoint checkpoint(continuator); moFitnessStat fitStat; checkpoint.add(fitStat); eoFileMonitor monitor("fitness.out", ""); moCounterMonitorSaver countMon(100, monitor); checkpoint.add(countMon); monitor.add(fitStat); moSA localSearch2(neighborhood, eval, cueval, coolingSchedule, solComparator, checkpoint); eval(sol1); for(int i=0;i