//Evolve algorithm
public void Evolve()
{
while (true)
{
generation++;
if (Numbers.GenerationQuantity > 1)
{
var children = EvoManager.Crossover(Numbers.GenerationQuantity, parents.ElementAt(0), parents.ElementAt(1));
EvoManager.Mutate(children, colorTable);
children = (from child in children
orderby child.Fitness
select child).ToList();
var mostFitChild = children.First();
if (mostFitChild.NeedRepaint)
{
if (fitness >= mostFitChild.Fitness)
{
childrenSelected++;
fitness = mostFitChild.Fitness;
parents = children;
lock (drawingData)
{
drawingData = mostFitChild;
}
}
}
}
else
{
EvoDrawing child;
lock (drawingData)
{
child = drawingData.Clone();
}
child.Mutate();
child.Fitness = EvoManager.Fitness(child, colorTable);
if (child.NeedRepaint)
{
if (fitness >= child.Fitness)
{
childrenSelected++;
fitness = child.Fitness;
//Keep possibility to come back
parents.Clear();
parents.Add(child.Clone());
parents.Add(child.Clone());
lock (drawingData)
{
drawingData = child;
}
}
}
}
}
}
private void setupStart()
{
if (parents != null)
{
parents.Clear();
}
else
{
parents = new List <EvoDrawing>();
}
for (int i = 0; i < Numbers.GenerationQuantity; i++)
{
var adam = new EvoDrawing(Numbers.MinPointsPerShape, Numbers.MaxPointsPerShape, colorTable);
parents.Add(adam.Clone());
}
generation = 0;
childrenSelected = 0;
fitness = Double.MaxValue;
}
