//The Step function assumes that the fitness values of all the individuals in the population have been calculated.
public override void Step()
{
List <Individual> new_pop = new List <Individual> ();
updateReport(); //called to get some stats
// fills the rest with mutations of the best !
for (int i = 0; i < populationSize; i++)
{
HillClimberIndividual tmp = (HillClimberIndividual)overallBest.Clone();
tmp.Mutate(mutationProbability);
new_pop.Add(tmp.Clone());
}
population = new_pop;
generation++;
}
//The Step function assumes that the fitness values of all the individuals in the population have been calculated.
public override void Step()
{
List<Individual> newPopRed = new List<Individual> ();
List<Individual> newPopBlue = new List<Individual>();
updateReport (); //called to get some stats
// fills the rest with mutations of the best !
for (int i = 0; i < populationSize ; i++) {
HillClimberIndividual tmpRed = (HillClimberIndividual) overallBestRed.Clone ();
HillClimberIndividual tmpBlue = (HillClimberIndividual) overallBestBlue.Clone();
tmpRed.Mutate (mutationProbabilityRedPopulation);
tmpBlue.Mutate(mutationProbabilityBluePopulation);
newPopRed.Add (tmpRed.Clone());
newPopBlue.Add(tmpBlue.Clone());
}
populationRed = newPopRed;
populationBlue = newPopBlue;
generation++;
}
