private void GA_Simple_Button_Click(object sender, RoutedEventArgs e)
{
GSA.GA.Algorithm.UniformRate = Double.Parse(CrossOverProbTextBox.Text);
GSA.GA.Algorithm.MutationRate = Double.Parse(MutationProbTextBox.Text);
GSA.GA.Algorithm.TournamentSize = Int32.Parse(TournamentSizeTextBox.Text);
GSA.GA.Algorithm.Elitism = ElitismCheckBox.IsChecked.Value;
GSA.GA.Algorithm.Rnd = new Random();
LogTextBox log = new GSA.LogTextBox(LogTextBox);
String solutionSelected = SolutionTextBox.Text;
if (validateSol(solutionSelected))
{
GSA.GA.FitnessCalc.setSolution(solutionSelected);
GSA.GA.Population myPop = new GSA.GA.Population(50, true);
int generationCount = 0;
while (myPop.getFittest().getFitness() < GSA.GA.FitnessCalc.getMaxFitness())
{
generationCount++;
log.Write("Generation: " + generationCount + " Fittest: " + myPop.getFittest().getFitness(), Brushes.Yellow);
myPop = GSA.GA.Algorithm.evolvePopulation(myPop);
}
log.Write("Solution found!", Brushes.GreenYellow);
log.Write("Generation: " + generationCount);
log.Write("Genes:");
log.Write(myPop.getFittest().ToString());
}
else
{
log.Write("La solución no es válida, recuerda: 64 bits de 0 y 1", Brushes.Red);
}
scrollEl.ScrollToBottom();
}
private void GA_Simple_Button_Click(object sender, RoutedEventArgs e)
{
GSA.GA.Algorithm.UniformRate = Double.Parse(CrossOverProbTextBox.Text);
GSA.GA.Algorithm.MutationRate = Double.Parse(MutationProbTextBox.Text);
GSA.GA.Algorithm.TournamentSize = Int32.Parse(TournamentSizeTextBox.Text);
GSA.GA.Algorithm.Elitism = ElitismCheckBox.IsChecked.Value;
GSA.GA.Algorithm.Rnd = new Random();
LogTextBox log = new GSA.LogTextBox(LogTextBox);
String solutionSelected = SolutionTextBox.Text;
if (validateSol(solutionSelected)) {
GSA.GA.FitnessCalc.setSolution(solutionSelected);
GSA.GA.Population myPop = new GSA.GA.Population(50, true);
int generationCount = 0;
while (myPop.getFittest().getFitness() < GSA.GA.FitnessCalc.getMaxFitness()) {
generationCount++;
log.Write("Generation: " + generationCount + " Fittest: " + myPop.getFittest().getFitness(), Brushes.Yellow);
myPop = GSA.GA.Algorithm.evolvePopulation(myPop);
}
log.Write("Solution found!", Brushes.GreenYellow);
log.Write("Generation: " + generationCount);
log.Write("Genes:");
log.Write(myPop.getFittest().ToString());
} else {
log.Write("La solución no es válida, recuerda: 64 bits de 0 y 1", Brushes.Red);
}
scrollEl.ScrollToBottom();
}
