void NextGeneration()
{
List <GameObject> toDestroy = new List <GameObject>();
for (int i = 0; i < PopulationSize; i++)
{
toDestroy.Add(((RobotIndividual)_population[i]).Robot.gameObject);
}
Individual best = _population[0];
double totalFitness = best.Fitness;
for (int i = 1; i < PopulationSize; i++)
{
RobotIndividual individual = (RobotIndividual)_population[i];
totalFitness += individual.Fitness;
if (individual.Fitness > best.Fitness)
{
best = individual;
}
_container.Add(individual);
}
if (best.Fitness > _best)
{
_best = best.Fitness;
}
//DataCollection.WriteData(new [] {_best.ToString(), (totalFitness / PopulationSize).ToString(), _container.GetAmount().ToString()});
_population = _selection.Select(_population, _container);
foreach (Variation variation in _variations)
{
_population = variation.Vary(_population, _gen);
}
for (int i = 0; i < PopulationSize; i++)
{
Destroy(toDestroy[i]);
RobotIndividual individual = (RobotIndividual)_population[i];
Robot robot = Instantiate(Robot).GetComponent <Robot>();
robot.Initialize(individual.Genome);
_population[i] = new RobotIndividual(robot, individual.Parents);
}
}
void Initialize()
{
if (_population.Length > 0)
{
for (int i = 0; i < PopulationSize; i++)
{
Destroy(((RobotIndividual)_population[i]).Robot.gameObject);
}
}
_population = new Individual[PopulationSize];
List <NeatGenome> genomeList = _genomeFactory.CreateGenomeList(PopulationSize, 0);
for (int i = 0; i < PopulationSize; i++)
{
Robot robot = Instantiate(Robot).GetComponent <Robot>();
robot.Initialize(genomeList[i]);
RobotIndividual individual = new RobotIndividual(robot, null);
_population[i] = individual;
}
if (_epoch >= _parameters.Length)
{
_experiment++;
_epoch = 0;
}
EvolutionParameters parameters = _parameters[_epoch];
_selection = parameters.Selection;
_container = parameters.Container;
_container.Clear();
_variations = parameters.Variations;
DataCollection.NewExperiment(parameters);
_best = 0;
}
