public SpeciesFitness(float fitness, GenomeWrapper bestMember)
{
Fitness = fitness;
BestMember = bestMember;
}
public void Evaluate()
{
species.Clear();
HighestScore = float.MinValue;
FittestGenome = null;
foreach (var g in Genomes)
{
var foundSpecies = false;
foreach (var s in species.Where(
s => Genome.CalculateCompatibilityDistance(g.Genome, s.Mascot.Genome, C1, C2, C3) < DT))
{
s.Members.Add(g);
g.Species = s;
foundSpecies = true;
break;
}
if (!foundSpecies)
{
var newSpecies = new Species(g);
species.Add(newSpecies);
g.Species = newSpecies;
}
var score = EvaluateGenome(g.Genome);
g.Fitness = g.Fitness * 0.5f + score;
if (!(HighestScore <= score))
{
continue;
}
HighestScore = score;
if (FittestGenome != null)
{
FittestGenome.Best = false;
}
FittestGenome = g;
g.Best = true;
}
species.RemoveAll(s => s.Members.Count == 0);
if (species.Count > populationSize / 5)
{
var orderedSpecies = species.OrderBy(s => s.CalculateSpeciesFitness().Fitness).ToArray();
var speciesIndex = 0;
while (species.Count > populationSize / 5)
{
species.Remove(orderedSpecies[speciesIndex]);
speciesIndex++;
}
}
Genomes.Clear();
foreach (var speciesFitness in species.Select(s => s.CalculateSpeciesFitness())
.Where(f => !f.BestMember.Best))
{
Genomes.Add(new GenomeWrapper(new Genome(speciesFitness.BestMember.Genome)));
}
Genomes.Add(new GenomeWrapper(new Genome(FittestGenome.Genome))
{
Best = true
});
while (Genomes.Count < populationSize)
{
var s = GetRandomSpecies();
var p1 = GetRandomGenomeInSpecies(s);
var p2 = GetRandomGenomeInSpecies(s);
var mostFitParent = p1.Fitness > p2.Fitness ? p1 : p2;
var leastFitParent = p1.Fitness > p2.Fitness ? p2 : p1;
var child = Genome.Crossover(mostFitParent.Genome, leastFitParent.Genome);
if (RandomnessHandler.RandomZeroToOne() < WeightMutationRate)
{
child.WeightMutation();
}
if (RandomnessHandler.RandomZeroToOne() < AddConnectionRate)
{
child.AddConnectionMutation(connectionInnovation, ConnectionMutationMaxAttempts);
}
if (RandomnessHandler.RandomZeroToOne() < ToggleConnectionRate)
{
child.ToggleConnectionMutation();
}
if (RandomnessHandler.RandomZeroToOne() < AddNodeRate)
{
child.AddNodeMutation(nodeInnovation, connectionInnovation);
}
Genomes.Add(new GenomeWrapper(child)
{
Fitness = leastFitParent.Fitness
});
}
}
public void Reset()
{
Mascot = Members[RandomnessHandler.Random.Next(Members.Count)];
Members.Clear();
LastCalculatedFitness = null;
}
