//----------------------------------------------------------------------------- /** testRandomNeutralWalk.cpp * * SV - 22/02/10 * */ //----------------------------------------------------------------------------- // standard includes #define HAVE_SSTREAM #include // runtime_error #include // cout #include // ostrstream, istrstream #include #include // the general include for eo #include #include using namespace std; //----------------------------------------------------------------------------- // fitness function #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include // REPRESENTATION //----------------------------------------------------------------------------- typedef eoBit Indi; typedef moBitNeighbor Neighbor ; // incremental evaluation typedef moRndWithoutReplNeighborhood Neighborhood ; void main_function(int argc, char **argv) { /* ========================================================= * * Parameters * * ========================================================= */ // 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 eoValueParam seedParam(time(0), "seed", "Random number seed", 'S'); parser.processParam( seedParam ); unsigned seed = seedParam.value(); // description of genotype eoValueParam vecSizeParam(8, "vecSize", "Genotype size", 'V'); parser.processParam( vecSizeParam, "Representation" ); unsigned vecSize = vecSizeParam.value(); eoValueParam blockSizeParam(2, "blockSize", "Size of block in the royal road", 'k'); parser.processParam( blockSizeParam, "Representation" ); unsigned blockSize = blockSizeParam.value(); eoValueParam stepParam(10, "nbStep", "Number of steps of the random walk", 'n'); parser.processParam( stepParam, "Representation" ); unsigned nbStep = stepParam.value(); // the name of the "status" file where all actual parameter values will be saved string str_status = parser.ProgramName() + ".status"; // default value eoValueParam 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 rng.reseed(seed); /* ========================================================= * * Eval fitness function * * ========================================================= */ RoyalRoadEval eval(blockSize); /* ========================================================= * * Initilisazor of the solution * * ========================================================= */ // a Indi random initializer eoUniformGenerator uGen; eoInitFixedLength random(vecSize, uGen); /* ========================================================= * * Evaluation of a neighbor solution * * ========================================================= */ moFullEvalByModif nhEval(eval); //An eval by copy can be used instead of the eval by modif //moFullEvalByCopy nhEval(eval); /* ========================================================= * * Comparator of neighbors * * ========================================================= */ moNeighborComparator comparator; moSolNeighborComparator solComparator; /* ========================================================= * * the neighborhood of a solution * * ========================================================= */ Neighborhood neighborhood(vecSize); /* ========================================================= * * a neighborhood explorer solution * * ========================================================= */ moRandomNeutralWalkExplorer explorer(neighborhood, nhEval, solComparator, nbStep); /* ========================================================= * * initial random solution * * ========================================================= */ Indi solution; random(solution); //Can be eval here, else it will be done at the beginning of the localSearch eval(solution); /* ========================================================= * * the continuator and the checkpoint * * ========================================================= */ moTrueContinuator continuator;//always continue moCheckpoint checkpoint(continuator); moFitnessStat fStat; eoHammingDistance distance; moDistanceStat distStat(distance, solution); // distance from the intial solution moOrderNeighborhood nh(vecSize); moNeighborhoodStat< Neighbor > neighborhoodStat(nh, nhEval, comparator, solComparator); moMinNeighborStat< Neighbor > minStat(neighborhoodStat); moSecondMomentNeighborStat< Neighbor > secondMomentStat(neighborhoodStat); moMaxNeighborStat< Neighbor > maxStat(neighborhoodStat); moNbSupNeighborStat< Neighbor > nbSupStat(neighborhoodStat); moNbInfNeighborStat< Neighbor > nbInfStat(neighborhoodStat); moNeutralDegreeNeighborStat< Neighbor > ndStat(neighborhoodStat); moSizeNeighborStat< Neighbor > sizeStat(neighborhoodStat); eoValueParam genCounter(-1,"Gen"); eoIncrementor increm(genCounter.value()); checkpoint.add(fStat); checkpoint.add(distStat); checkpoint.add(neighborhoodStat); checkpoint.add(minStat); checkpoint.add(secondMomentStat); checkpoint.add(maxStat); checkpoint.add(nbInfStat); checkpoint.add(ndStat); checkpoint.add(nbSupStat); checkpoint.add(sizeStat); checkpoint.add(increm); eoFileMonitor outputfile("out.dat", " "); checkpoint.add(outputfile); outputfile.add(genCounter); outputfile.add(fStat); outputfile.add(distStat); outputfile.add(minStat); outputfile.add(secondMomentStat); outputfile.add(maxStat); outputfile.add(nbInfStat); outputfile.add(ndStat); outputfile.add(nbSupStat); outputfile.add(sizeStat); /* ========================================================= * * the local search algorithm * * ========================================================= */ moLocalSearch localSearch(explorer, checkpoint, eval); /* ========================================================= * * execute the local search from random sollution * * ========================================================= */ std::cout << "initial: " << solution << std::endl ; localSearch(solution); std::cout << "final: " << solution << 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; }