void Genome::crossover(const Genome &with,Genome &baby1,Genome &baby2)
{
baby1.setFitness(0.0);
baby2.setFitness(0.0);
int crossoverPoint = NeuralNetRandom::RandomInt(0,numberOfGenes()-1);
std::vector<double> newChromosome1;
std::vector<double> newChromosome2;
std::vector<double>::iterator myGenes = _chromosome.begin();
std::vector<double> otherChromosome = with.chromosome();
std::vector<double>::iterator otherGenes = otherChromosome.begin();
if (crossoverPoint > 0)
{
newChromosome1.assign(myGenes,myGenes+crossoverPoint+1);
newChromosome2.assign(otherGenes,otherGenes+crossoverPoint+1);
}
newChromosome1.insert(newChromosome1.end(),otherGenes+crossoverPoint,otherChromosome.end());
newChromosome2.insert(newChromosome2.end(),myGenes+crossoverPoint,_chromosome.end());
baby1.setChromosome(newChromosome1);
baby2.setChromosome(newChromosome2);
}
void Genome::mutate(Genome &theGenome)
{
std::vector<double> chromosome = theGenome.chromosome();
for (int i=0;i<(int)chromosome.size();++i)
{
if (NeuralNetRandom::RandomFloat() < MutationRate)
chromosome[i] += NeuralNetRandom::RandomClamped()*MaxMutationPerturbation;
}
theGenome.setChromosome(chromosome);
}
