private void CalcFitness()
{
foreach (var item in Population)
{
item.Fitness = Fitness.Calc(item);
}
}
public void Epoch()
{
CalcFitness();
var newpopulations = new List <IGenome>();
Population = Population.OrderBy(o => o.Fitness).ToList();
for (int j = 0; j < GASettings.BestSolutionToPick; j++)
{
Population[j].Fitness = Fitness.Calc(Population[j]);
Population[j].Score = 0;
newpopulations.Add(Population[j]);
}
int ran = Rand.Next(1, Population.Count);
while (newpopulations.Count < Population.Count)
{
// Selection
var nodemom = Selection.Select(Population);
var nodedad = Selection.Select(Population);
// CrossOver
var cross = Crossover.Calc(new CrossoverOperation(nodemom, nodedad));
//// Mutation
nodemom = Mutate.Calc(cross.Mom);
nodedad = Mutate.Calc(cross.Dad);
// Adaptation
nodemom = Adaptation.Calc(nodemom);
nodedad = Adaptation.Calc(nodedad);
nodemom.Fitness = Fitness.Calc(nodemom);
nodedad.Fitness = Fitness.Calc(nodedad);
// Add in new population
newpopulations.Add(nodemom);
newpopulations.Add(nodedad);
}
Population = null;
Population = newpopulations.ToList();
Generation++;
}
