/// <summary>
/// Handles iterating a generation of the population.
/// All evaluations must have been done by this point.
/// </summary>
/// <param name="rando">A random number generator.</param>
public void Epoch(Random rando)
{
foreach (var spec in Species)
{
spec.SetChampions();
}
SortSpeciesByChampionFitness();
Genome generationChampion = Species.Last().Fitness.Champion;
if (generationChampion.Fitness.Score >= Fitness.ChampionScore)
{
GenerationPrime = Generation;
}
Fitness.GenerationalChampion = generationChampion;
Dictionary <Species, int> ExpectedChildren = FindExpectedChildren();
foreach (var spec in Species)
{
int numberOfParents = (int)Math.Floor(spec.Size() * Const.SurvivalThresh + 1);
spec.SortGenomesByFitness();
spec.Genomes.RemoveRange(0, spec.Size() - numberOfParents);
}
List <Genome> nextGenerationGenomes = new List <Genome>();
foreach (var specCountPair in ExpectedChildren)
{
nextGenerationGenomes.AddRange(specCountPair.Key.Reproduce(specCountPair.Value, GenerationalInnovations, Species, rando));
}
ClearParentGeneration();
SpeciateNewGeneration(nextGenerationGenomes);
RemoveDeadSpecies();
ResetSpeciesTemplates();
AgeSpecies();
Generation++;
HistoricalInnovations.AddRange(GenerationalInnovations);
GenerationalInnovations.Clear();
}
/// <summary>
/// Creates an initial population.
/// </summary>
/// <param name="nodes">A list of NodeType-ActivationStyle pairing. The node Id will be the position in the list.</param>
/// <param name="connections">A list of InNodeId-OutNodeId-Weight tuples.</param>
/// <param name="populationSize">The size of the population to test.</param>
/// <param name="rando">A random number generator for perturbing the weights.</param>
public Population(List <Tuple <NodeType, ActivationStyle> > nodes, List <Tuple <int, int, double> > connections, int populationSize, Random rando)
{
TargetPopulationSize = populationSize;
ValidateConstructorParameters(nodes.Count, connections);
for (int i = 0; i < nodes.Count; i++)
{
NodePool.Add(new NodeInformation(nodes[i].Item1, nodes[i].Item2));
}
List <Gene> startGenes = new List <Gene>();
foreach (var tupe in connections)
{
ConnectionInformation ci = new ConnectionInformation(tupe.Item1, tupe.Item2);
startGenes.Add(new Gene(ci, ConnectionPool.Size(), tupe.Item3, false));
InnovationInformation info = new InnovationInformation(ci);
info.NewConnectionDetails.ConnectionId = ConnectionPool.Size();
GenerationalInnovations.Add(info);
ConnectionPool.Add(ci);
}
Genome adam = new Genome(startGenes);
List <Genome> firstGen = new List <Genome>()
{
adam
};
for (int i = 1; i < TargetPopulationSize; i++)
{
Genome copy = new Genome(adam);
Mutation.MutateTryAllNonStructural(copy, rando);
firstGen.Add(copy);
}
SpeciateNewGeneration(firstGen);
}
