private List <Individual> CloneList(List <Individual> template)
{
List <Individual> clonedList = new List <Individual>();
foreach (Individual individual in template)
{
clonedList.Add(Individual.CloneIndividual(individual));
}
return(clonedList);
}
private Individual MutateIndividual(Individual individual)
{
Individual clone = Individual.CloneIndividual(individual);
double chance = random.NextDouble();
for (int i = 0; i < individual.Movements.Count; i++)
{
double value = random.NextDouble();
if (value > chance)
{
clone.Movements[i] = clone.Movements[i] == 0 ? 1 : 0;
}
}
return(clone);
}
public List <Individual> GenerateDescendants(Individual mother, Individual father)
{
Individual motherClone = Individual.CloneIndividual(mother);
Individual fatherClone = Individual.CloneIndividual(father);
double value = random.NextDouble();
Individual mutatedMother = null, mutatedFather = null;
int counter = 0;
for (int i = 0; i < 5; i++)
{
mutatedMother = MutateIndividual(motherClone);
if (StaticOperations.ValidateIndividual(mutatedMother))
{
break;
}
counter++;
}
if (counter == 5)
{
mutatedMother = mother;
}
counter = 0;
for (int i = 0; i < 5; i++)
{
mutatedFather = MutateIndividual(fatherClone);
if (StaticOperations.ValidateIndividual(mutatedFather))
{
break;
}
counter++;
}
if (counter == 5)
{
mutatedFather = father;
}
List <Individual> crossedOvers = CrossOverIndividuals(mutatedMother, mutatedFather);
return(crossedOvers);
}
private void ShowDataImages(object sender, IndividualEventArgs e)
{
Dispatcher.Invoke(delegate
{
if (_tmpIndividual == null || _originalBitmap == null)
{
return;
}
lock (_tmpIndividual)
{
if (_bestOfAllIndividual == null)
{
_bestOfAllIndividual = _tmpIndividual.CloneIndividual();
_newBestIndividual = true;
}
if (_bestOfAllIndividual.Adaptation < _tmpIndividual.Adaptation)
{
_bestOfAllIndividual = _tmpIndividual.CloneIndividual();
_newBestIndividual = true;
dataChartList.Add(new ChartKeyValue()
{
Key = _bestOfAllIndividual.Generation, Value = _bestOfAllIndividual.Adaptation
});
}
_topGenerationIndividual = _tmpIndividual.CloneIndividual();
}
using (var bit = new Bitmap(_originalBitmap.Width, _originalBitmap.Height))
{
this.actualGeneticImage.Source = null;
Graphics graphics = Graphics.FromImage(bit);
graphics.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
ImageRenderer.DrawImage(_topGenerationIndividual, graphics);
bit.Save("topGenerationIndividual.png", ImageFormat.Png);
if (_newBestIndividual == true)
{
this.bestGeneticImage.Source = null;
bit.Save("topIndividual.png", ImageFormat.Png);
}
}
var bitmap = new BitmapImage();
var stream = File.OpenRead("topGenerationIndividual.png");
bitmap.BeginInit();
bitmap.CacheOption = BitmapCacheOption.OnLoad;
bitmap.StreamSource = stream;
bitmap.EndInit();
stream.Close();
stream.Dispose();
_generation = _topGenerationIndividual.Generation;
_killedChilds = AlgorithmInformation.KilledChilds;
this._bestFitness = Math.Round(_bestOfAllIndividual.Adaptation, 2);
this._currentFitness = Math.Round(_topGenerationIndividual.Adaptation, 2);
this._mutationChance = AlgorithmInformation.MutationChance;
this._mutationType = (int)AlgorithmInformation.MutationType;
this.actualGeneticImage.Source = bitmap;
this.generation.Content = "Generation: " + _topGenerationIndividual.Generation.ToString();
this.currentFitness.Content = "Current fitness: " + Math.Round(_topGenerationIndividual.Adaptation, 2).ToString() + "%";
this.populationLabel.Content = "Population: " + AlgorithmInformation.Population;
this.eliteLabel.Content = "Elite: " + AlgorithmInformation.Elite;
this.mutationTypeLabel.Content = "Mutation type: " + AlgorithmInformation.MutationType.ToString();
this.mutationChanceLabel.Content = "Mutation chance: " + AlgorithmInformation.MutationChance.ToString() + "%";
this.killedChildsLabel.Content = "Killed childs: " + AlgorithmInformation.KilledChilds;
_shapesAmount = (int)this.ShapesAmountSlider.Value;
if (this.mutationDynamicRadio.IsChecked ?? false)
{
this.dinamicallyMutationLabel.Content = "Dynamic mutation: YES";
this._dunamicMutation = 1;
}
else
{
this.dinamicallyMutationLabel.Content = "Dynamic mutation: NO";
this._dunamicMutation = 0;
}
if (this.twoParentRadio.IsChecked ?? false)
{
this.reproductionTypeLabel.Content = "Reproduction: Two-parents";
}
else
{
this.reproductionTypeLabel.Content = "Reproduction: Single-parent";
}
if (_newBestIndividual == true)
{
var bitmap1 = new BitmapImage();
var stream1 = File.OpenRead("topIndividual.png");
bitmap1.BeginInit();
bitmap1.CacheOption = BitmapCacheOption.OnLoad;
bitmap1.StreamSource = stream1;
bitmap1.EndInit();
stream1.Close();
stream1.Dispose();
this.bestGeneticImage.Source = bitmap1;
this.bestFitness.Content = "Best fitness: " + Math.Round(_bestOfAllIndividual.Adaptation, 2).ToString() + "%";
_newBestIndividual = false;
}
});
}