private void bgw_DoWork(object sender, DoWorkEventArgs e)
{
BackgroundWorker worker = sender as BackgroundWorker;
// Get settings
int numGenerations = (int)numericNumGenerations.Value;
eaLoop.Initialize();
for (int i = 0; i < numGenerations; i++)
{
if (worker.CancellationPending)
{
return;
}
// Perform one iteration of the loop
eaLoop.Iterate();
lock (plotPopulation)
{
plotPopulation.Clear();
plotPopulation.AddRange(eaLoop.AdultPopulation);
}
bgw.ReportProgress(1, i);
}
}
private void bgw_DoWork(object sender, DoWorkEventArgs e)
{
BackgroundWorker worker = sender as BackgroundWorker;
// Get settings
int numGenerations = (int)numericNumGenerations.Value;
int numRuns = (int)numericNumRuns.Value;
maxValues = new float[numGenerations, numRuns];
averageValues = new float[numGenerations, numRuns];
sdValues = new float[numGenerations, numRuns];
bool plotSd = checkBoxSd.Checked;
for (int n = 0; n < numRuns; n++)
{
eaLoop.Initialize();
for (int i = 0; i < numGenerations; i++)
{
if (worker.CancellationPending)
{
return;
}
// Perform one iteration of the loop
eaLoop.Iterate();
// Sample data
max = eaLoop.max;
average = eaLoop.average;
maxValues[i, n] = max;
averageValues[i, n] = average;
// Calculate standard deviations
sd = 0;
foreach (Individual individual in eaLoop.AdultPopulation)
{
sd += (float)Math.Pow(individual.Fitness - average, 2);
}
sd /= eaLoop.AdultPopulation.Count;
sd = (float)Math.Sqrt(sd);
sdValues[i, n] = sd;
if (numRuns == 1)
{
worker.ReportProgress(i);
if (max == eaLoop.goal)
{
Debug.WriteLine("Reached goal");
return;
}
}
}
}
// Find the maximal individual
Debug.WriteLine(max);
return;
}
