private Individual[] MutatePopulation()
{
int populationSize = population.Length;
for (int i = elitism; i < populationSize; i++)
{
population[i].gen = Genoma.Mutate(r, population[i].gen, mutationRate, maxPerturbation);
}
return(population);
}
public void Initialize(MendelMachine mendelMachine, Genoma genoma,
ActivationFunction activationFunction,
bool learningPhase, float lifeTime, int index)
{
fitness = 0;
this.index = index;
this.mendelMachine = mendelMachine;
this.learningPhase = learningPhase;
this.lifeTime = lifeTime;
perceptron = new Perceptron(genoma, activationFunction);
on = true;
}
private Individual[] CrossPopulation()
{
int populationSize = population.Length;
List <Individual> crosspop = new List <Individual>();
for (int i = 0; i < populationSize; i++)
{
population[i].fitness = -1;
for (int j = 0; j < populationSize - i; j++)
{
crosspop.Add(population[i]);
}
}
List <Individual> newpop = new List <Individual>();
for (int i = 0; i < elitism; i++)
{
newpop.Add(population[i]);
}
for (int i = 0; i < newIndividuals; i++)
{
newpop.Add(GenerateIndividual());
}
for (int i = 0; i < populationSize - newIndividuals - elitism; i++)
{
Individual individual = new Individual
{
gen = Genoma.Cross(r,
crosspop[Random.Range(0, crosspop.Count)].gen,
crosspop[Random.Range(0, crosspop.Count)].gen),
fitness = 0
};
newpop.Add(individual);
}
return(newpop.ToArray());
}