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 Generation(Results results, int generationNumber, Generation previousGeneration)
{
_resultsInfo = results;
_generationNumber = generationNumber;
int totalElitismPicks = SettingsManager.SelectionsByElitism;
int individualsPerGeneration = SettingsManager.IndividualsPerGeneration;
for (int i = 0; i < totalElitismPicks; i++)
{
if (SettingsManager.GuaranteedSurvivalForElites)
{
RecordResult(previousGeneration._results[i].tester.RunResult);
continue;
}
Individual father = previousGeneration._results[i].tester;
int motherIndex = RandomManager.RandomIntWithHollowSpot(0, individualsPerGeneration - 1, i);
Individual mother = previousGeneration._results[motherIndex].tester;
RecordResult(new Individual(this, father, true, mother, motherIndex < totalElitismPicks).RunResult);
}
for (int i = totalElitismPicks; i < individualsPerGeneration; i++)
{
Individual father = previousGeneration._results[i].tester;
int motherIndex = RandomManager.RandomIntWithHollowSpot(0, individualsPerGeneration - 1, i);
Individual mother = previousGeneration._results[motherIndex].tester;
RecordResult(new Individual(this, father, false, mother, motherIndex < totalElitismPicks).RunResult);
}
}
public Individual(Generation generation)
{
Initialize(generation);
// Initialize Chromosomes
_chromosomes = new Chromosome[TotalChromosomes];
for (int i = 0; i < TotalChromosomes; i++)
{
_chromosomes[i] = new Chromosome(this, RandomManager.RandomInt(0, 1) == 0);
}
}
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++;
}
}
private void Initialize(Generation generation)
{
_generation = generation;
_name = NextIndividualName;
// Generate Individual Color
_drawColor = Color.White;
while (_drawColor.IsSimilarToColor(Color.White))
{
_drawColor = Color.FromArgb(255, RandomManager.RandomInt(0, 255),
RandomManager.RandomInt(0, 255), RandomManager.RandomInt(0, 255));
}
}
