private void button_start_Click(object sender, EventArgs e)
{
// !! Currently DOES NOT run as a background task!
GeneticAlgorithm ga = new GeneticAlgorithm(this.glControl1, this.textBox3, this.bar_algorithm_progress);
ga.gaMain();
//// Disables the Start button until the GA is done
//this.button_start.Enabled = false;
//// Disables the tabs until the GA is done
//this.tabControl1.Enabled = false;
//// Enables the Cancel Button until GA is done
//this.button_cancel.Enabled = true;
//// Runs the DoWork function
//this.geneticalgorithm.RunWorkerAsync();
}
private void geneticalgorithm_DoWork(object sender, DoWorkEventArgs e)
{
BackgroundWorker worker = sender as BackgroundWorker;
stopWatch.Start();
GeneticAlgorithm ga = new GeneticAlgorithm(this.glControl1, this.textBox3, this.bar_algorithm_progress);
//e.Result = ga.gaMain(worker, e);
}
private void button_evaluation_Click(object sender, EventArgs e)
{
for (int i = 0; i < Variables.evaluationsize; i++)
{
GeneticAlgorithm ga = new GeneticAlgorithm(this.glControl1, this.textBox3, this.bar_algorithm_progress);
ga.gaMain();
}
string s = "";
for (int i = 0; i < Variables.evaluationsize; i++)
{
/**s += "Best path: " + Variables.bestPopulation[i].Genome.write() +
" with a rating of: " + Variables.bestPopulation[i].Rating.ToString() +
" in: " + Variables.time[i] + Environment.NewLine;
* **/
s += Variables.bestPopulation[i].Rating.ToString() + " in: " + Variables.time[i] + Environment.NewLine;
}
Output output = new Output(s);
output.Show();
}
