public void SetChromosome(ShooterChromosome chromosome, ShooterSampleConfig config)
{
Chromosome = chromosome;
//Debug.Log("Setting Chromosome : " + Chromosome);
Chromosome.MinDistanceFromTarget = DistanceFromTarget();
chromosome.Evaluated = false;
m_startTime = Time.time;
transform.rotation = Quaternion.identity;
m_config = config;
var phenotypes = chromosome.GetPhenotypes();
var str = phenotypes.Select(p => p.ThrowingVector).ToArray();
Y = str[0].y;
Z = str[0].z;
Strengh = str[0].x;
if (m_cam != null)
{
m_cam.StartFollowing(gameObject);
}
SetBallColor(Color.green);
//Appliquer la force
StartCoroutine(Throwing());
//Calculer Fin de la Mesure
StartCoroutine(CheckTimeout());
}
protected override GeneticAlgorithm CreateGA()
{
m_fitness = new ShooterFitness();
var chromosome = new ShooterChromosome(Config);
var crossover = new UniformCrossover();
var mutation = new FlipBitMutation();
var selection = new EliteSelection();
var population = new Population(NumberOfSimultaneousEvaluations, NumberOfSimultaneousEvaluations, chromosome)
{
GenerationStrategy = new PerformanceGenerationStrategy()
};
GeneticAlgorithm ga = new GeneticAlgorithm(population, m_fitness, selection, crossover, mutation)
{
Termination = new ShooterTermination(),
TaskExecutor = new ParallelTaskExecutor
{
MinThreads = population.MinSize,
MaxThreads = population.MaxSize * 2
}
};
ga.GenerationRan += delegate
{
EvalutionInstancePosition = Vector3.zero;
m_evaluationPool.ReleaseAll();
};
ga.MutationProbability = .1f;
return(ga);
}
