public void Evolve()
{
int prevPoplLen;
prevPoplLen = Genomes.Count();
Genomes = GenerationGenerator.Generate(Genomes);
if (!Genomes.Any())
{
Populate(prevPoplLen);
}
Generation++;
}
public void SetFitness()
{
int ageDebt = (Age - LastImprovementAge + 1) - SpeciesParameters.DropOffAge;
ageDebt = ageDebt == 0 ? 1 : ageDebt;
Genomes.ForEach(g =>
{
if (ageDebt >= 1)
{
g.Fitness *= SpeciesParameters.DropOffAgePenaltyFactor;
}
if (Age <= 10)
{
g.Fitness *= SpeciesParameters.AgeSignificance;
}
if (g.Fitness < 0)
{
g.Fitness = 0.0001;
}
g.Fitness /= Genomes.Count;
});
Fitness = Genomes.Any() ? Genomes.Average(g => g.Fitness) : 0;
if (Fitness > MaxFitness)
{
MaxFitness = Fitness;
LastImprovementAge = 0;
}
else
{
LastImprovementAge++;
}
}