public Individual(Generation generation, Individual father, bool wasFatherSelectedByElitism,
Individual mother, bool wasMotherSelectedByElitism)
{
Initialize(generation);
_chromosomes = new Chromosome[TotalChromosomes];
// Initialize Secondary Mutation Chromosomes
Chromosome[] parentChromosomes = new Chromosome[SecondaryMutationChromosomesAmount];
bool getFromFather = false;
for (int i = 0; i < SecondaryMutationChromosomesAmount; i++)
{
parentChromosomes[i] = (getFromFather ? father : mother)._chromosomes[i];
getFromFather = !getFromFather;
}
parentChromosomes = parentChromosomes.RandomizeArray();
for (int i = 0; i < SecondaryMutationChromosomesAmount; i++) { _chromosomes[i] = parentChromosomes[i]; }
// Divide The Rest Of The Chromosomes Based On Elitism
float getChromosomeFromFatherChance = wasFatherSelectedByElitism == wasMotherSelectedByElitism ? 0.5f
: wasFatherSelectedByElitism ? ElitismChromosomeChance : 1f - ElitismChromosomeChance;
for (int i = SecondaryMutationChromosomesAmount; i < TotalChromosomes; i++)
{
_chromosomes[i] = (RandomManager.EvaluatePercentage(getChromosomeFromFatherChance) ? father : mother)._chromosomes[i];
}
SimulateMutation();
}
public void SimulateMutation()
{
int totalChanges = 0;
for (int i = 0; i < TotalChromosomes; i++)
{
if (totalChanges > MaxMutableChromosomes) { break; }
if (!RandomManager.EvaluatePercentage(MutationChance)) { continue; }
_chromosomes[i] = new Chromosome(this, !_chromosomes[i].Usable);
totalChanges++;
}
}
