//----------------------------------------------------------------------------- // gprop //----------------------------------------------------------------------------- #include // EXIT_SUCCESS EXIT_FAILURE #include // exception #include // cerr cout #include // ifstream #include // string #include // all usefull eo stuff #include "gprop.h" // Chrom eoChromInit eoChromMutation eoChromXover eoChromEvaluator using namespace std; //----------------------------------------------------------------------------- // global variables //----------------------------------------------------------------------------- unsigned in, out, hidden; mlp::set train, validate, test; //----------------------------------------------------------------------------- // parameters //----------------------------------------------------------------------------- eoValueParam pop_size(10, "pop_size", "population size", 'p'); eoValueParam generations(10, "generations", "number of generation", 'g'); eoValueParam mut_rate(0.25, "mut_rate", "mutation rate", 'm'); eoValueParam xover_rate(0.25, "xover_rate", "default crossover rate", 'x'); eoValueParam file("", "file", "common start of patterns filenames *.trn *.val and *.tst", 'f'); eoValueParam hiddenp(0, "hidden", "number of neurons in hidden layer", 'd'); //----------------------------------------------------------------------------- // auxiliar functions //----------------------------------------------------------------------------- void arg(int argc, char** argv); void load_file(mlp::set& s1, const string& s2); void ga(); //----------------------------------------------------------------------------- // main //----------------------------------------------------------------------------- int main(int argc, char** argv) { try { arg(argc, argv); ga(); } catch (exception& e) { cerr << argv[0] << ": " << e.what() << endl; exit(EXIT_FAILURE); } return 0; } //----------------------------------------------------------------------------- // implementation //----------------------------------------------------------------------------- void arg(int argc, char** argv) { eoParser parser(argc, argv); parser.processParam(pop_size, "genetic operators"); parser.processParam(generations, "genetic operators"); parser.processParam(mut_rate, "genetic operators"); parser.processParam(xover_rate, "genetic operators"); parser.processParam(file, "files"); parser.processParam(hiddenp, "genetic operators"); if (parser.userNeedsHelp()) { parser.printHelp(cout); exit(EXIT_SUCCESS); } load_file(train, "trn"); load_file(validate, "val"); load_file(test, "tst"); phenotype::trn_max = train.size(); phenotype::val_max = validate.size(); phenotype::tst_max = test.size(); in = train.front().input.size(); out = train.front().output.size(); gprop_use_datasets(&train, &validate, &test); hidden = hiddenp.value(); } //----------------------------------------------------------------------------- void load_file(mlp::set& set, const string& ext) { string filename = file.value(); filename += "." + ext; ifstream ifs(filename.c_str()); if (!ifs) { cerr << "can't open file \"" << filename << "\"" << endl; exit(EXIT_FAILURE); } ifs >> set; if (set.size() == 0) { cerr << filename << " data file is empty!"; exit(EXIT_FAILURE); } } //----------------------------------------------------------------------------- void ga() { // create population eoInitChrom init; eoPop pop(pop_size.value(), init); // evaluate population eoEvalFuncPtr evaluator(eoChromEvaluator); apply(evaluator, pop); // selector eoStochTournamentSelect select; // genetic operators eoChromMutation mutation; eoChromXover xover; // stop condition eoGenContinue continuator1(generations.value()); phenotype p; p.val_ok = validate.size() - 1; p.mse_error = 0; eoFitContinue continuator2(p); eoCombinedContinue continuator(continuator1, continuator2); // checkpoint eoCheckPoint checkpoint(continuator); // monitor eoStdoutMonitor monitor; checkpoint.add(monitor); // statistics eoBestFitnessStat stats; checkpoint.add(stats); monitor.add(stats); // genetic algorithm eoSGA sga(select, xover, xover_rate.value(), mutation, mut_rate.value(), evaluator, checkpoint); sga(pop); cout << "best: " << *max_element(pop.begin(), pop.end()) << endl; } //----------------------------------------------------------------------------- // Local Variables: // mode:C++ // End: