/* ----------------------------------------------------------------------------  ex25.C  mbwall jan96  Copyright (c) 1995-1996  Massachusetts Institute of Technology DESCRIPTION:   This example shows how to do multiple populations on a single CPU.---------------------------------------------------------------------------- */#include <stdio.h>#include <iostream.h>#include <ga/GA1DBinStrGenome.h>#include <ga/GADemeGA.h>float Objective(GAGenome &);intmain(int argc, char** argv) {  cout << "Example 25\n\n";  cout << "This example uses a genetic algorithm with multiple populations.\n";  cout << endl;// See if we've been given a seed to use (for testing purposes).  When you// specify a random seed, the evolution will be exactly the same each time// you use that seed number.  unsigned int seed = 0;  for(int ii=1; ii<argc; ii++) {    if(strcmp(argv[ii++],"seed") == 0) {      seed = atoi(argv[ii]);    }  }  GA1DBinaryStringGenome genome(32, Objective);  GADemeGA ga(genome);  ga.nPopulations(5);  ga.populationSize(30);  ga.nGenerations(100);  ga.pMutation(0.03);  ga.pCrossover(1.0);  ga.parameters(argc, argv);  cout << "initializing..."; cout.flush();  ga.initialize(seed);  cout << "evolving..."; cout.flush();  while(!ga.done()) {    ga.step();    cout << "."; cout.flush();  }  cout << endl;  cout << "best individual is: " << ga.statistics().bestIndividual() << "\n";  cout << "\n" << ga.statistics() << "\n";    return 0;}// This is the 1-max objective function - try to maximize the number of 1s in // a bit string of arbitrary length.floatObjective(GAGenome& g) {  GA1DBinaryStringGenome & genome = (GA1DBinaryStringGenome &)g;  float score=0.0;  for(int i=0; i<genome.length(); i++)    score += genome.gene(i);  score /= genome.length();  return score;}