/// <summary>
/// Initialization of basic values of the user interface.
/// </summary>
public GaUx()
{
InitializeComponent();
controllers = ThreadSafeServiceUX.selectType <IController>();
comboBoxControllers.Items.AddRange(controllers.Keys.ToArray());
}
/// <summary>
/// Genetic algorithm config.
/// </summary>
/// <returns>If threu = successful configuration.</returns>
private bool configGa()
{
// opperators names
string target,
xoverName,
elitizmusName,
mutationName,
selectionName,
terminationName;
// operator parameters
float percentageElit, mutationPorb, xoverProb, scale;
int popSize, paramTerm;
// problems contoller
IControllerImage sampleController;
// try sets operators and parameters
try
{
// curr operators names
xoverName = comboBoxXover.SelectedItem.ToString();
elitizmusName = comboBoxElitizmus.SelectedItem.ToString();
mutationName = comboBoxMutation.SelectedItem.ToString();
selectionName = comboBoxSelection.SelectedItem.ToString();
terminationName = comboBoxTermination.SelectedItem.ToString();
mutationPorb = (float)numericUpDownMutation.Value / 100;
xoverProb = (float)numericUpDownXover.Value / 100;
// Ga population size
popSize = (int)numericUpDownPopSize.Value;
paramTerm = (int)numericUpDownTermination.Value;
percentageElit = (float)numericUpDownElitizmus.Value / 100;
scale = (float)numericUpDownScale.Value;
var controllerName = controllers[comboBoxControllers.SelectedItem.ToString()];
sampleController = Activator.CreateInstance(controllerName) as IControllerImage;
target = imgTargetFileName.Replace("\\", "/");
sampleController.Initialize();
sampleController.InitializeScale(scale);
sampleController.Initialize(target);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return(false);
}
// Creates operators
var fitness = sampleController.CreateFitness();
var executor = sampleController.CreateExecutor();
var crossover = sampleController.CreateCrossover(xoverName);
var mutation = sampleController.CreateMutation(mutationName);
var selection = sampleController.CreateSelection(selectionName);
var elitizmus = sampleController.CreateElitizmus(elitizmusName, percentageElit);
var termination = sampleController.CreateTermination(terminationName, paramTerm);
// creates population with curr. popSize
var population = new Population(popSize, sampleController.CreateIndividual);
// new genetic algorithm
ga = new GA(population, fitness, selection, crossover, mutation, elitizmus, termination, executor, mutationPorb, xoverProb);
// information transfer between ga/trhead and US
ga.CurrentGenerationInfo += delegate
{
var bestIndividual = ga.BestIndividual;
ThreadSafeServiceUX.SetControlPropertyThreadSafe(labelTime, "Text", "Time: " + ga.TimeEvolving);
ThreadSafeServiceUX.SetControlPropertyThreadSafe(labelFitness, "Text", "Fitness: " + bestIndividual.Fitness);
ThreadSafeServiceUX.SetControlPropertyThreadSafe(labelGeneration, "Text", "Generations: " + ga.CurrentGenerationsNumber);
var speed = ga.TimeEvolving.TotalSeconds / ga.CurrentGenerationsNumber;
ThreadSafeServiceUX.SetControlPropertyThreadSafe(labelSpeed, "Text", "Speed(gen/sec): " + speed.ToString("0.0000"));
var best = sampleController.ShowBestIndividual(bestIndividual);
if (best != null)
{
ThreadSafeServiceUX.SetControlPropertyThreadSafe(pictureBoxBestInd, "Image", Bitmap.FromFile(best.ToString()));
}
};
// configuration termination
sampleController.ConfigGATermination(ga);
return(true);
}
