private List <Gene> ReproduceGenes(List <Gene> genePool)
{
// The list of new genes
List <Gene> newGenes = new List <Gene>();
// List<Task> tasks = new List<Task>();
// int numberOfChildren = 0;
// Reproduce the genes
foreach (Gene gene1 in genePool)
{
foreach (Gene gene2 in genePool)
{
if (gene1 != gene2)
{
// tasks.Add(Task.Run(() => {
// Gene gene = gene1.Crossover(gene2);
// lock(_lock)
// {
// newGenes.Add(gene);
// }
// }));
Gene gene = gene1.Crossover(gene2);
newGenes.Add(gene);
}
// numberOfChildren++;
if (newGenes.Count >= this.numberOfGenes)
{
// Task.WaitAll(tasks.ToArray());
return(newGenes);
}
}
}
//throw new Exception("You shouldn't be here!!!");
return(newGenes);
}
public override Gene Crossover(Gene mate)
{
LineGene matePaintGene = (LineGene)mate;
LineGene childGene = new LineGene(this.Bitmap.Width, this.Bitmap.Height, this.MutationRangeMax, this.numberOfSeps);
for (int i = 0; i < this.numberOfSeps; i++)
{
Stroke stroke = new Stroke();
stroke.Paint =
Utilities.Random.Next(0, this.MutationRangeMax) == this.MutationNumber ?
Stroke.RandomPaint() :
(Utilities.Random.Next(0, 100) > 50 ? this.Strokes[i].Paint : matePaintGene.Strokes[i].Paint);
stroke.Points =
Utilities.Random.Next(0, this.MutationRangeMax) == this.MutationNumber ?
Stroke.RandomPoints(this.Bitmap.Width, this.Bitmap.Height) :
(Utilities.Random.Next(0, 100) > 50 ? this.Strokes[i].Points : matePaintGene.Strokes[i].Points);
childGene.Strokes.Add(stroke);
}
return(childGene);
}
public void Run(RunConfig runConfig)
{
// Create a new run instance
this.runInstance = Task.Run(() => {
// Update engine status
this.UpdateStatus(true, false, "Engine is running", runConfig);
// Remove the current engine output directory if it exists
if (Directory.Exists(Utilities.EngineOutputDirectory))
{
Directory.Delete(Utilities.EngineOutputDirectory, true);
}
this.population = new Population(runConfig.TargetBitmap, runConfig);
// Generate population
switch (runConfig.GeneType)
{
case 1:
population.GeneratePixelGenePopulation(runConfig);
break;
case 2:
population.GenerateLineGenePopulation(runConfig);
break;
}
var watch = System.Diagnostics.Stopwatch.StartNew();
for (int i = 1; i <= runConfig.Generations; i++)
{
// Check to see if this run has been cancelled
if (this.cancel)
{
// Update engine status
this.UpdateStatus(false, true, "Engine was cancelled", runConfig);
this.cancel = false;
break;
}
this.population.EvaluateFitness();
Gene topGene = this.population.NaturalSelection();
// Save the image of the top gene
Utilities.SaveFittestGeneForGeneration(topGene.Bitmap, i);
// If this is the last generation, then save the step images for this top gene
if (i == runConfig.Generations)
{
topGene.SaveSteps();
}
// Update engine status
this.status.CurrentGeneration = i;
}
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
System.Console.WriteLine($"Milliseconds: {elapsedMs}");
this.population.EvaluateFitness();
Utilities.SaveBitmap(this.population.BestGene.Bitmap, $"{Utilities.EngineOutputDirectory}/result.png");
// Update engine status
this.UpdateStatus(false, true, "Results are available", runConfig);
this.cancel = false;
});
}
public abstract Gene Crossover(Gene mate);
