public void CrossOverSpawn__()
{
var parents = new List <Individual>();
var p1Genome = new Genome(3, 1, 2, 2, new List <decimal> {
1, 3, 5, 7, 9, 11, 13, 15, 17, 19
});
parents.Add(new Individual {
Genome = p1Genome
});
var p2Genome = new Genome(3, 1, 2, 2, new List <decimal> {
2, 4, 6, 8, 10, 12, 14, 16, 18, 20
});
parents.Add(new Individual {
Genome = p2Genome
});
var baby = crossOver.Spawn(parents);
Assert.That(baby, Is.Not.Null);
Assert.That(baby.Genome.NumInputNeurons, Is.EqualTo(3));
Assert.That(baby.Genome.NumHiddenLayers, Is.EqualTo(1));
Assert.That(baby.Genome.NumNeuronsPerHiddenLayer, Is.EqualTo(2));
Assert.That(baby.Genome.NumOutputNeurons, Is.EqualTo(2));
}
public List <Individual> MakeNewGeneration(List <Individual> population, int numInNewPopulation)
{
population.Sort((a, b) => a.Fitness.CompareTo(b.Fitness));
var newPopulation = new List <Individual>();
for (int i = 0; i < numInNewPopulation; i++)
{
var parents = selectionFunction.Select(population);
if (parents == null || parents.Count != 2)
{
throw new Exception("parents were null, or not 2 of them!");
}
var baby = spawnFunction.Spawn(parents);
//do mutation?
var doMutation = rand.NextDouble();
if (doMutation.CompareTo(MUTATION_RATE) < 0)
{
var mutationSeverity = rand.NextDouble() * MAX_MUTATION_SEVERITY;
Mutate(baby, mutationSeverity);
}
newPopulation.Add(baby);
}
return(newPopulation);
}