00001
00002
00003
00004 using namespace std;
00005
00006 #include <stdlib.h>
00007 #include <stdexcept>
00008 #include <iostream>
00009 #include <fstream>
00010 #include <string>
00011 #include <eo>
00012 #include "gprop.h"
00013
00014
00015
00016
00017
00018 unsigned in, out, hidden;
00019 mlp::set train, validate, test;
00020
00021
00022
00023
00024
00025 eoValueParam<unsigned> pop_size(10, "pop_size", "population size", 'p');
00026 eoValueParam<unsigned> generations(10, "generations", "number of generation", 'g');
00027 eoValueParam<double> mut_rate(0.25, "mut_rate", "mutation rate", 'm');
00028 eoValueParam<double> xover_rate(0.25, "xover_rate", "default crossover rate", 'x');
00029 eoValueParam<string> file("", "file", "common start of patterns filenames *.trn *.val and *.tst", 'f');
00030 eoValueParam<unsigned> hiddenp(0, "hidden", "number of neurons in hidden layer", 'd');
00031
00032
00033
00034
00035
00036 void arg(int argc, char** argv);
00037 void load_file(mlp::set& s, const string& s);
00038 void ga();
00039
00040
00041
00042
00043
00044 int main(int argc, char** argv)
00045 {
00046 try
00047 {
00048 arg(argc, argv);
00049 ga();
00050 }
00051 catch (exception& e)
00052 {
00053 cerr << argv[0] << ": " << e.what() << endl;
00054 exit(EXIT_FAILURE);
00055 }
00056
00057 return 0;
00058 }
00059
00060
00061
00062
00063
00064 void arg(int argc, char** argv)
00065 {
00066 eoParser parser(argc, argv);
00067
00068 parser.processParam(pop_size, "genetic operators");
00069 parser.processParam(generations, "genetic operators");
00070 parser.processParam(mut_rate, "genetic operators");
00071 parser.processParam(xover_rate, "genetic operators");
00072 parser.processParam(file, "files");
00073 parser.processParam(hiddenp, "genetic operators");
00074
00075 if (parser.userNeedsHelp())
00076 {
00077 parser.printHelp(cout);
00078 exit(EXIT_SUCCESS);
00079 }
00080
00081 load_file(train, "trn");
00082 load_file(validate, "val");
00083 load_file(test, "tst");
00084
00085 phenotype::trn_max = train.size();
00086 phenotype::val_max = validate.size();
00087 phenotype::tst_max = test.size();
00088
00089 in = train.front().input.size();
00090 out = train.front().output.size();
00091 gprop_use_datasets(&train, &validate, &test);
00092 hidden = hiddenp.value();
00093 }
00094
00095
00096
00097 void load_file(mlp::set& set, const string& ext)
00098 {
00099 string filename = file.value(); filename += "." + ext;
00100
00101 ifstream ifs(filename.c_str());
00102 if (!ifs)
00103 {
00104 cerr << "can't open file \"" << filename << "\"" << endl;
00105 exit(EXIT_FAILURE);
00106 }
00107
00108 ifs >> set;
00109
00110 if (set.size() == 0)
00111 {
00112 cerr << filename << " data file is empty!";
00113 exit(EXIT_FAILURE);
00114 }
00115 }
00116
00117
00118
00119 void ga()
00120 {
00121
00122 eoInitChrom init;
00123 eoPop<Chrom> pop(pop_size.value(), init);
00124
00125
00126 eoEvalFuncPtr<Chrom> evaluator(eoChromEvaluator);
00127 apply<Chrom>(evaluator, pop);
00128
00129
00130 eoStochTournamentSelect<Chrom> select;
00131
00132
00133 eoChromMutation mutation;
00134 eoChromXover xover;
00135
00136
00137 eoGenContinue<Chrom> continuator1(generations.value());
00138 phenotype p; p.val_ok = validate.size() - 1; p.mse_error = 0;
00139 eoFitContinue<Chrom> continuator2(p);
00140 eoCombinedContinue<Chrom> continuator(continuator1, continuator2);
00141
00142
00143 eoCheckPoint<Chrom> checkpoint(continuator);
00144
00145
00146 eoStdoutMonitor monitor;
00147 checkpoint.add(monitor);
00148
00149
00150 eoBestFitnessStat<Chrom> stats;
00151 checkpoint.add(stats);
00152 monitor.add(stats);
00153
00154
00155 eoSGA<Chrom> sga(select,
00156 xover, xover_rate.value(),
00157 mutation, mut_rate.value(),
00158 evaluator,
00159 checkpoint);
00160
00161 sga(pop);
00162
00163 cout << "best: " << *max_element(pop.begin(), pop.end()) << endl;
00164 }
00165
00166
00167
00168
00169
00170