private void OnClickGo(object sender, EventArgs e)
{
_runResults.Clear();
_lblRunsComplete.Visible = false;
DisableControls();
_progressBarMult.Value = 0;
_runsSoFar++;
_classGA = new GeneticAlgorithm();
_backgroundWorkerMult.RunWorkerAsync();
}
private void OnWorkCompleted(object sender, RunWorkerCompletedEventArgs e)
{
_totalWorkDone += _classGA.Population.WorkDone;
_lblWorkResult.Text = Convert.ToString((_totalWorkDone) / _runsSoFar);
_lblRunsSoFar.Text = Convert.ToString(_runsSoFar);
if (_runsSoFar < _nudNumRuns.Value && _classGA.Population.GenerationsSoFar == _nudNumGensPerRun.Value)
{
_runResults.Add(_classGA.Population.BestSolution.Fitness);
if (_classGA.Population.BestSolution < _bestSolution.Population.BestSolution)
{
_bestSolution = _classGA;
}
_progressBarMult.Value = 0;
_runsSoFar++;
_classGA = new GeneticAlgorithm();
_backgroundWorkerMult.RunWorkerAsync();
}
else if (_runsSoFar == _nudNumRuns.Value)
{
_runResults.Add(_classGA.Population.BestSolution.Fitness);
_progressBarMult.Value = 100;
_runsSoFar = 0;
_totalWorkDone = 0;
EnableControls();
WriteResults();
}
}
