public void NextGeneration()
{
FitnessStats.SaveCurrentToHistory();
Generation++;
var newGenomes = new List <Genome>();
if (_genetics.EliteCount > 0)
{
var elites = Genomes.OrderByDescending(x => x.Fitness).Take(_genetics.EliteCount);
newGenomes.AddRange(elites);
}
while (newGenomes.Count < Genomes.Count())
{
var mother = getGenomeByRoulette();
var father = getGenomeByRoulette();
var children = _genetics.Crossover(mother, father);
foreach (var child in children)
{
_genetics.Mutate(child);
newGenomes.Add(child);
}
}
newGenomes.ForEach(x => x.ResetFitness());
Genomes = newGenomes.Take(Genomes.Count()).ToList();
}
public void Evolve()
{
int prevPoplLen;
prevPoplLen = Genomes.Count();
Genomes = GenerationGenerator.Generate(Genomes);
if (!Genomes.Any())
{
Populate(prevPoplLen);
}
Generation++;
}
