public override void InitPopulation()
{
maxNumberOfEvaluations = Mathf.Min(maxNumberOfEvaluations, populationSize);
populationRed = new List <Individual> ();
populationBlue = new List <Individual>();
while (populationRed.Count < populationSize)
{
HillClimberIndividual new_ind_red = new HillClimberIndividual(NNTopology, maxNumberOfEvaluations, mutationMethod);
HillClimberIndividual new_ind_blue = new HillClimberIndividual(NNTopology, maxNumberOfEvaluations, mutationMethod);
if (seedPopulationFromFile)
{
NeuralNetwork nnRed = getRedIndividualFromFile();
NeuralNetwork nnBlue = getBlueIndividualFromFile();
new_ind_red.Initialize(nnRed);
new_ind_blue.Initialize(nnBlue);
//only the first individual is an exact copy. the other are going to suffer mutations
if (populationRed.Count != 0 && populationBlue.Count != 0)
{
new_ind_red.Mutate(mutationProbabilityRedPopulation);
new_ind_blue.Mutate(mutationProbabilityBluePopulation);
}
}
else
{
new_ind_red.Initialize();
new_ind_blue.Initialize();
}
populationRed.Add(new_ind_red);
populationBlue.Add(new_ind_blue);
}
}
public override void InitPopulation()
{
population = new List <Individual> ();
while (population.Count < populationSize)
{
HillClimberIndividual new_ind = new HillClimberIndividual(topology);
new_ind.Initialize();
population.Add(new_ind);
}
}
public override void InitPopulation()
{
Debug.Log("Estou a inicializar no HillClimber");
population = new List <Individual> ();
// jncor
while (population.Count < populationSize)
{
HillClimberIndividual new_ind = new HillClimberIndividual(topology);
new_ind.Initialize();
population.Add(new_ind);
}
}
