/// <summary>
/// Uruchamianie Algorytmu Genetycznego
/// </summary>
private void StartGA()
{
RunGA(() =>
{
//m_sampleController.Reset();
m_sampleContext.Population = new Population(Convert.ToInt32(PopulationMinUpDown.Value), Convert.ToInt32(PopulationMaxUpDown.Value), m_sampleController.CreateChromosome());//new IChromosome.BinaryChromosomeBase());
m_sampleContext.Population.GenerationStrategy = m_generationStrategy;
m_ga = new MyGeneticAlgorithm(m_sampleContext.Population, m_fitness, m_selection, m_crossover, m_mutation);
m_ga.CrossoverProbability = 0.75f; //Convert.ToSingle(hslCrossoverProbability.Value);
m_ga.MutationProbability = Convert.ToSingle(MutationProbTrackbar.Value); // przechwycenie mutacji
m_ga.Reinsertion = m_reinsertion;
m_ga.Termination = m_termination;
/*m_ga.Termination = new Termination(
* if (TimeThresholdRadioBtn) m_termination = new TimeEvolvingTermination();
* else m_termination = new GenerationNumberTermination());*/
m_sampleContext.GA = m_ga;
m_ga.GenerationRan += delegate
{
Gtk.Application.Invoke(delegate
{
m_sampleController.Update();
});
};
m_sampleController.ConfigGA(m_ga);
m_ga.Start();
});
}
/**
* CONSTRUCTOR
*/
public Bot(List <BoardConfiguration> historic)
{
this.historic = historic;
base.board = GameObject.FindGameObjectWithTag("Board").GetComponent <Board>();
ga = new MyGeneticAlgorithm(base.board);
configList = new List <BoardConfiguration>();
}
// Use this for initialization
void Start()
{
random = new System.Random();
ga = new MyGeneticAlgorithm <float>(population, 3, random, GetRandomEntityValues, FitnessFunction, 5, 0.01f);
flyingEntities = new FlyingEntity[population];
for (int i = 0; i < population; i++)
{
FlyingEntity flyingEntity = Instantiate(FlyingEntityPrefab, spawnPosition.position, Quaternion.identity).GetComponent <FlyingEntity>();
flyingEntities[i] = flyingEntity;
flyingEntities[i].entityValues = new FlyingEntityValues();
flyingEntity.entityValues.DistanceForCollisionCheck = ga.Population[i].Genes[0];
flyingEntity.entityValues.DistanceForCollisionLeftAndRight = ga.Population[i].Genes[1];
flyingEntity.entityValues.Speed = ga.Population[i].Genes[2];
}
}
/// <summary>
/// Configure the Genetic Algorithm.
/// </summary>
/// <param name="ga">The genetic algorithm.</param>
public virtual void ConfigGA(MyGeneticAlgorithm ga)
{
}