add sampling, add moVectorMonitor
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1774 331e1502-861f-0410-8da2-ba01fb791d7f
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6 changed files with 549 additions and 9 deletions
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@ -9,7 +9,9 @@ LINK_DIRECTORIES(${EO_BIN_DIR}/lib)
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ADD_EXECUTABLE(testRandomWalk testRandomWalk.cpp)
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ADD_EXECUTABLE(testMetropolisHasting testMetropolisHasting.cpp)
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ADD_EXECUTABLE(testRandomNeutralWalk testRandomNeutralWalk.cpp)
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ADD_EXECUTABLE(sampling sampling.cpp)
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TARGET_LINK_LIBRARIES(testRandomWalk eoutils ga eo)
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TARGET_LINK_LIBRARIES(testMetropolisHasting eoutils ga eo)
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TARGET_LINK_LIBRARIES(testRandomNeutralWalk eoutils ga eo)
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TARGET_LINK_LIBRARIES(sampling eoutils ga eo)
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214
trunk/paradiseo-mo/tutorial/Lesson6/sampling.cpp
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214
trunk/paradiseo-mo/tutorial/Lesson6/sampling.cpp
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//-----------------------------------------------------------------------------
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/** sampling.cpp
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*
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* SV - 03/05/10
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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/moTrueContinuator.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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#include <sampling/moSampling.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 output file
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string str_out = "out.dat"; // default value
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eoValueParam<string> outParam(str_out.c_str(), "out", "Output file of the sampling", 'o');
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parser.processParam(outParam, "Persistence" );
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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, nbStep);
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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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moTrueContinuator<Neighbor> continuator;//always continue
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moFitnessStat<Indi, unsigned> 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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/* =========================================================
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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, continuator, eval);
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/* =========================================================
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*
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* The sampling of the search space
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*
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* ========================================================= */
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moSampling<Neighbor> sampling(random, localSearch, fStat);
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/* =========================================================
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*
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* execute the sampling
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*
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* ========================================================= */
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sampling();
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sampling.exportFile(str_out);
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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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