[galib] ga initialisation

[#SAWHNEY ADITI#]

hi,
 
i need a bit of help. I have written a program hwich incorporates a GA over an ant colony algorithm(bvasically a kind of algorithm). Now when i run my progrm after abt 4-5 populations teh program gives a fatal error saying its referencing some illegal loctaion. Below is my intialisation of teh GA and the genome using allele sets. can soemone please just check n tell me if i have made a mistake in the ga initialistaion part? my ant algorithm works perfetcly independntly thast hwy i thought it might be a mistake in the GA
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#include <GASStateGA.h>
//#include <std_stream.h>
//#define cout STD_COUT
//#define endl STD_ENDL
//#define INSTANTIATE_REAL_GENOME
#include <GARealGenome.h>
#include <GAAllele.h>
#include <string.h>
#include <stdlib.h>
//#include <stdio.h>
#include <utility>
#include <math.h>
#include <iomanip>
//#include <iostream>
#include <fstream>

#include "General.hpp"
#include "AntColonyVRP.hpp"
#define INSTANTIATE_REAL_GENOME
vector<VehInfo> vehArray;
void createVehicles(char *fileName, vector<VehInfo> &vehArray);
float Objective(GAGenome &); 
 
int
main(int argc, char **argv)
{
  
// Declare variables for the GA parameters and set them to some default values.
  int popsize  = 10;  
   int ngen     = 40; 
 float pmut   = 0.02;
  float pcross = 0.9;
 
  GARealAlleleSetArray alleles;
  alleles.add(0,15);
  alleles.add(0,1);
  alleles.add(0,1);

  GARealGenome genome(alleles, Objective);
  genome.mutator(GA1DArrayAlleleGenome<float>::FlipMutator);
  genome.crossover(GA1DArrayAlleleGenome<float>::OnePointCrossover);
  genome.initializer(GA1DArrayAlleleGenome<float>::UniformInitializer); 
  GAParameterList params;  
 
    //fill it with default values
  GASteadyStateGA::registerDefaultParameters(params);
  params.set(gaNminimaxi, GASteadyStateGA::MINIMIZE);
  
 
  params.set(gaNpopulationSize, popsize);    // number of individuals in population
  params.set(gaNpCrossover, pcross);       // likelihood of doing crossover
  params.set(gaNpMutation, pmut); // probability of mutation
  params.set(gaNnGenerations, ngen); // number of generations
  params.set(gaNscoreFrequency, 1); // how often to record scores
  params.set(gaNflushFrequency, 1);    // how often to flush scores to file
  params.set(gaNscoreFilename, "bog.dat");
  
  GASteadyStateGA ga(genome); 
  ga.parameters(params);  //register GA settings

  GATournamentSelector selector;
  ga.selector(selector);
  ga.terminator(GAGeneticAlgorithm::TerminateUponGeneration);
 
ga.evolve();
 
  genome = ga.statistics().bestIndividual();
   float x1 = (float) genome.gene(0);
 float x2 = (float) genome.gene(1);
 
 float x3 = (float) genome.gene(2);
 
// Now we print out the best genome that the GA found.
//cout << "The GA found:\n" << ga.statistics().bestIndividual() << "\n";
printf("The GA found :%f,%f,%f,%f",x1,x2,x3 );
genome = ga.statistics().bestIndividual();
 
 printf("%f", genome.score() );
 
// That's it!
  return 0;
}