Migration from SVN
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quemy
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//-----------------------------------------------------------------------------
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/** testRandomWalk.cpp
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*
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* SV - 22/01/10
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*
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*/
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//-----------------------------------------------------------------------------
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// standard includes
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#define HAVE_SSTREAM
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#include <stdexcept> // runtime_error
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#include <iostream> // cout
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#include <sstream> // ostrstream, istrstream
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#include <fstream>
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#include <string.h>
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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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using namespace std;
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//-----------------------------------------------------------------------------
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// fitness function
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#include <eval/oneMaxEval.h>
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#include <problems/bitString/moBitNeighbor.h>
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#include <eoInt.h>
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#include <neighborhood/moRndWithReplNeighborhood.h>
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#include <eval/moFullEvalByModif.h>
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#include <eval/moFullEvalByCopy.h>
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#include <continuator/moIterContinuator.h>
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#include <algo/moLocalSearch.h>
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#include <explorer/moRandomWalkExplorer.h>
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#include <continuator/moCheckpoint.h>
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#include <continuator/moFitnessStat.h>
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#include <continuator/moSolutionStat.h>
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#include <utils/eoDistance.h>
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#include <continuator/moDistanceStat.h>
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#include <utils/eoFileMonitor.h>
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#include <utils/eoUpdater.h>
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// REPRESENTATION
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//-----------------------------------------------------------------------------
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typedef eoBit<unsigned> Indi;
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typedef moBitNeighbor<unsigned int> Neighbor ; // incremental evaluation
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typedef moRndWithReplNeighborhood<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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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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eoValueParam<unsigned int> stepParam(10, "nbStep", "Number of steps of the random walk", 'n');
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parser.processParam( stepParam, "Representation" );
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unsigned nbStep = stepParam.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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oneMaxEval<Indi> eval;
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/* =========================================================
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*
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* Initilisation of the solution
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*
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* ========================================================= */
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// a Indi random initializer
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eoUniformGenerator<bool> uGen;
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eoInitFixedLength<Indi> random(vecSize, uGen);
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/* =========================================================
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*
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* evaluation of a neighbor solution
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*
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* ========================================================= */
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moFullEvalByModif<Neighbor> nhEval(eval);
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//An eval by copy can be used instead of the eval by modif
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//moFullEvalByCopy<Neighbor> nhEval(eval);
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/* =========================================================
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*
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* the neighborhood of a solution
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*
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* ========================================================= */
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Neighborhood neighborhood(vecSize);
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/* =========================================================
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*
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* a neighborhood explorer solution
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*
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* ========================================================= */
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moRandomWalkExplorer<Neighbor> explorer(neighborhood, nhEval);
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/* =========================================================
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*
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* the continuator and the checkpoint
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*
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* ========================================================= */
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moIterContinuator<Neighbor> continuator(nbStep);
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moCheckpoint<Neighbor> checkpoint(continuator);
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moFitnessStat<Indi> fStat;
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eoHammingDistance<Indi> distance;
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Indi bestSolution(vecSize, true);
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moDistanceStat<Indi, unsigned> distStat(distance, bestSolution);
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// moSolutionStat<Indi> solStat;
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checkpoint.add(fStat);
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checkpoint.add(distStat);
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// checkpoint.add(solStat);
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eoValueParam<int> genCounter(-1,"Gen");
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eoIncrementor<int> increm(genCounter.value());
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checkpoint.add(increm);
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eoFileMonitor outputfile("out.dat", " ");
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checkpoint.add(outputfile);
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outputfile.add(genCounter);
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outputfile.add(fStat);
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outputfile.add(distStat);
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// outputfile.add(solStat);
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Indi solution; // current solution of the search process
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/*
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// to save the solution at each iteration
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eoState outState;
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// Register the algorithm into the state (so it has something to save!!
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outState.registerObject(solution);
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// and feed the state to state savers
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// save state every 10th iteration
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eoCountedStateSaver stateSaver(10, outState, "iteration");
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// Don't forget to add the two savers to the checkpoint
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checkpoint.add(stateSaver);
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*/
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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> localSearch(explorer, checkpoint, eval);
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/* =========================================================
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*
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* execute the local search from random sollution
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*
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* ========================================================= */
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random(solution);
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//Can be eval here, else it will be done at the beginning of the localSearch
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//eval(solution);
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std::cout << "initial: " << solution << std::endl ;
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localSearch(solution);
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std::cout << "final: " << solution << 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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