/// <summary>
/// Factory to reproduce generation
/// </summary>
/// <param name="parameters">Generation parameters</param>
/// <param name="evaluation">Generation evaluation. Create via <see cref="Evaluate"/></param>
/// <param name="generationNumber"></param>
/// <returns></returns>
public static Generation Reproduce(GenerationParameters parameters, GenerationEvaluation evaluation, int generationNumber)
{
var gen = new Generation(generationNumber, parameters.instancesCount);
for (var index = 0; index < gen.Instances.Length; index++)
{
var instance = gen.Instances[index];
if (index < parameters.preservedCount)
{
instance.NN.genes = evaluation.pool.Best().Genes;
instance.NN.UpdateFromGenes();
}
else if (index < parameters.preservedCount + parameters.newRandomCount)
{
instance.NN.SetRandomValues(-1, 1);
}
else
{
parameters.crossoverFunction.Crossover(instance.NN, evaluation, parameters.selectionFunction, parameters.fitnessPower);
parameters.mutationFunction.Mutate(instance.NN, parameters.mutationProbability, parameters.mutationFactor);
instance.NN.UpdateFromGenes();
}
instance.dieOnCollision = parameters.dieOneCollision;
instance.fitnessFunction = parameters.fitnessFunction;
}
return(gen);
}
/// <summary>
/// Factory for creating random generation
/// </summary>
public static Generation Random(GenerationParameters parameters)
{
var gen = new Generation(0, parameters.instancesCount);
foreach (var instance in gen.Instances)
{
instance.NN.SetRandomValues(-1, 1);
instance.dieOnCollision = parameters.dieOneCollision;
}
return(gen);
}
