private void NextGeneration()
{
AverageFitnessInPreviousGeneration = Species.Average(s => s.AverageFitness);
foreach (var specie in Species)
{
specie.Genomes = specie.GetMostFitGenomes();
}
Species = RemoveStaleSpecies(Species);
SetGenomeRanks(Species);
Species = Species.Where(s => s.AverageGlobalRank * Config.Population >= 1).ToList();
var totalAverageRanks = Species.Sum(s => s.AverageGlobalRank);
var nextGenerationChildrenGenomes = new List <Genome>();
foreach (var specie in Species)
{
var childrenGenomesTobreed = (int)((specie.AverageGlobalRank / totalAverageRanks) * Config.Population - 1);
for (int i = 0; i < childrenGenomesTobreed; i++)
{
nextGenerationChildrenGenomes.Add(specie.Breed());
}
}
Species = CullSpecies(Species);
while (Species.Count + nextGenerationChildrenGenomes.Count < Config.Population)
{
var randomSpecie = Species.GetRandomElement();
nextGenerationChildrenGenomes.Add(randomSpecie.Breed());
}
foreach (var childrenGenome in nextGenerationChildrenGenomes)
{
AssignSpecie(Species, childrenGenome);
}
Generation++;
TopFitnessInPreviousGeneration = TopFitnessInGeneration;
TopFitnessInGeneration = 0;
}