Migration from SVN

mo/tutorial/Lesson6/fdc.cpp

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+//-----------------------------------------------------------------------------
+/** fdc.cpp
+ *
+ * SV - 06/05/10
+ *
+ */
+//-----------------------------------------------------------------------------
+
+// standard includes
+#define HAVE_SSTREAM
+
+#include <stdexcept>  // runtime_error 
+#include <iostream>   // cout
+#include <sstream>    // ostrstream, istrstream
+#include <fstream>
+#include <string.h>
+
+// the general include for eo
+#include <eo>
+
+// declaration of the namespace
+using namespace std;
+
+//-----------------------------------------------------------------------------
+// representation of solutions, and neighbors
+#include <ga/eoBit.h>                         // bit string : see also EO tutorial lesson 1: FirstBitGA.cpp
+#include <problems/bitString/moBitNeighbor.h> // neighbor of bit string
+
+//-----------------------------------------------------------------------------
+// fitness function, and evaluation of neighbors
+#include <eval/oneMaxEval.h>
+
+//-----------------------------------------------------------------------------
+// the distance defined over the search space
+#include <utils/eoDistance.h>
+
+//-----------------------------------------------------------------------------
+// the sampling class
+#include <sampling/moFDCsampling.h>
+
+// Declaration of types
+//-----------------------------------------------------------------------------
+// Indi is the typedef of the solution type like in paradisEO-eo
+typedef eoBit<unsigned int> Indi;                      // bit string with unsigned fitness type
+// Neighbor is the typedef of the neighbor type,
+// Neighbor = How to compute the neighbor from the solution + information on it (i.e. fitness)
+// all classes from paradisEO-mo use this template type
+typedef moBitNeighbor<unsigned int> Neighbor ;         // bit string neighbor with unsigned fitness type
+
+
+void main_function(int argc, char **argv)
+{
+    /* =========================================================
+     *
+     * Parameters
+     *
+     * ========================================================= */
+    // more information on the input parameters: see EO tutorial lesson 3
+    // but don't care at first it just read the parameters of the bit string size and the random seed.
+
+    // 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
+
+    // random seed parameter
+    eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
+    parser.processParam( seedParam );
+    unsigned seed = seedParam.value();
+
+    // length of the bit string
+    eoValueParam<unsigned int> vecSizeParam(20, "vecSize", "Genotype size", 'V');
+    parser.processParam( vecSizeParam, "Representation" );
+    unsigned vecSize = vecSizeParam.value();
+
+    // the number of solution sampled
+    eoValueParam<unsigned int> solParam(100, "nbSol", "Number of random solution", 'n');
+    parser.processParam( solParam, "Representation" );
+    unsigned nbSol = solParam.value();
+
+    // the name of the output file
+    string str_out = "out.dat"; // default value
+    eoValueParam<string> outParam(str_out.c_str(), "out", "Output file of the sampling", 'o');
+    parser.processParam(outParam, "Persistence" );
+
+    // the name of the "status" file where all actual parameter values will be saved
+    string str_status = parser.ProgramName() + ".status"; // default value
+    eoValueParam<string> 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
+    // more information: see EO tutorial lesson 1 (FirstBitGA.cpp)
+    rng.reseed(seed);
+
+    /* =========================================================
+     *
+     * Initialization of the solution
+     *
+     * ========================================================= */
+
+    // a Indi random initializer: each bit is random
+    // more information: see EO tutorial lesson 1 (FirstBitGA.cpp)
+    eoUniformGenerator<bool> uGen;
+    eoInitFixedLength<Indi> random(vecSize, uGen);
+
+    /* =========================================================
+     *
+     * Eval fitness function (full evaluation)
+     *
+     * ========================================================= */
+
+    // the fitness function is just the number of 1 in the bit string
+    oneMaxEval<Indi> fullEval;
+
+    /* =========================================================
+     *
+     * The sampling of the search space
+     *
+     * ========================================================= */
+
+    // Hamming distance to the global optimum
+    eoHammingDistance<Indi> distance; // Hamming distance
+    Indi bestSolution(vecSize, true); // global optimum
+
+    // sampling object :
+    //    - random initialization
+    //    - fitness function
+    //    - number of solutions to sample
+    moFDCsampling<Neighbor> sampling(random, fullEval, distance, bestSolution, nbSol);
+
+    /* =========================================================
+     *
+     * execute the sampling
+     *
+     * ========================================================= */
+
+    sampling();
+
+    /* =========================================================
+     *
+     * export the sampling
+     *
+     * ========================================================= */
+
+    // to export the statistics into file
+    sampling.fileExport(str_out);
+
+    // to get the values of statistics
+    // so, you can compute some statistics in c++ from the data
+    const std::vector<double> & fitnessValues = sampling.getValues(0);
+    const std::vector<double> & distValues    = sampling.getValues(1);
+
+    std::cout << "First values:" << std::endl;
+    std::cout << "Fitness  " << fitnessValues[0] << std::endl;
+    std::cout << "Distance " << distValues[0] << std::endl;
+
+    std::cout << "Last values:" << std::endl;
+    std::cout << "Fitness  " << fitnessValues[fitnessValues.size() - 1] << std::endl;
+    std::cout << "Distance " << distValues[distValues.size() - 1] << std::endl;
+}
+
+// A main that catches the exceptions
+
+int main(int argc, char **argv)
+{
+    try {
+        main_function(argc, argv);
+    }
+    catch (exception& e) {
+        cout << "Exception: " << e.what() << '\n';
+    }
+    return 1;
+}