/// <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();
});
}
