private void SetBestChromosome(DrawingChromosome c)
{
var bitmap = GenBitmap(c);
using (var memory = new MemoryStream())
{
bitmap.Save(memory, ImageFormat.Png);
memory.Position = 0;
BitmapImage bitmapImage = new BitmapImage();
bitmapImage.BeginInit();
bitmapImage.StreamSource = memory;
bitmapImage.CacheOption = BitmapCacheOption.OnLoad;
bitmapImage.EndInit();
BestChromosome = bitmapImage;
}
}
private void StartGa()
{
var selection = new EliteSelection();
var crossover = new OnePointCrossover();
var mutation = new DrawingMutation();
var fitness = new LineDrawingTarget(InputFilename);
var chromosome = new DrawingChromosome(NumberOfLines);
var population = new Population(50, 60, chromosome);
_ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation);
_ga.Termination = new GenerationNumberTermination(NumberOfGenerations);
_ga.MutationProbability = MutationProbability;
_ga.GenerationRan += OnGenerationComplete;
_ga.TerminationReached += OnTerminationReached;
_gaThread = new Thread(() => _ga.Start());
_gaThread.Start();
}
private static Bitmap GenBitmap(DrawingChromosome c)
{
// REVISIT: This is a crappy way of doing this.
var bitmap = new Bitmap(256, 256);
var graphics = Graphics.FromImage(bitmap);
graphics.FillRectangle(Brushes.White, 0, 0, 255, 255);
var ph = c.GetPhenotype();
for (var y = 0; y < 256; ++y)
{
for (var x = 0; x < 256; ++x)
{
if (ph[x, y] < 128)
{
graphics.DrawLine(Pens.Black, x, y, x + 1, y + 1);
}
}
}
return(bitmap);
}
