public IEvolvableSkull MakeChild(IEvolvableSkull mate)
{
int g;
// Create a new random child
var child = new EvolvableSkullViewModel(this.Parent, Guid.NewGuid());
// Set the genes to be a combination of each of the 2 parents.
// We'll do this by using crossover and then adding mutations.
// Find crossover point
var crossoverPoint = (int)(RAND.NextDouble() * this.GenotypeLength);
// The first genes are from this parent.
for (g = 0; g < crossoverPoint; g++)
{
child.GenotypeColours[g] = this.GenotypeColours[g];
child.GenotypeWidths[g] = this.GenotypeWidths[g];
child.GenotypeHeights[g] = this.GenotypeHeights[g];
}
// The rest of the genes are from the mate.
for (g = crossoverPoint; g < GenotypeLength; g++)
{
child.GenotypeColours[g] = mate.GenotypeColours[g];
child.GenotypeWidths[g] = mate.GenotypeWidths[g];
child.GenotypeHeights[g] = mate.GenotypeHeights[g];
}
child.CreateGeneSequence(new RandomInitialGeneSequence(), false);
// return the new Crossover, Mutated child organism
return(child);
}
public IEvolvableSkull Clone()
{
var theClone = new EvolvableSkullViewModel(this.Parent, Guid.NewGuid());
theClone.GenotypeLength = this.GenotypeLength;
theClone.GenotypeMutationRate = this.GenotypeMutationRate;
for (int i = 0; i < this.GenotypeColours.Length; i++)
{
theClone.GenotypeColours[i] = this.GenotypeColours[i];
}
for (int i = 0; i < this.GenotypeWidths.Length; i++)
{
theClone.GenotypeWidths[i] = this.GenotypeWidths[i];
}
for (int i = 0; i < this.GenotypeHeights.Length; i++)
{
theClone.GenotypeHeights[i] = this.GenotypeHeights[i];
}
for (int i = 0; i < this.AvailableColours.Length; i++)
{
theClone.AvailableColours[i] = this.AvailableColours[i];
}
for (int i = 0; i < this.AvailableEyeColours.Length; i++)
{
theClone.AvailableEyeColours[i] = this.AvailableEyeColours[i];
}
return(theClone);
}
