public void RunGenerations(int iterations, List <double[]> inputTrainSet, List <double[]> outputTarget, int maxAge)
{
_inputTrainSet = inputTrainSet;
_outputTarget = outputTarget;
for (int i = 0; i < iterations; i++)
{
EvaluatePopulation();
SortPopulation();
//CopyRightKill();
if (PopulationList.First().Error <= 0.1)
{
break;
}
PrintBestIndividualError(i);
SurvivalOfTheFitest(0.01d, PopulationSize, maxAge);
Mutation(0.05d, 0.1d);
CrossPopulation();
DieOfAge(maxAge);
}
EvaluatePopulation();
SortPopulation();
PrintBestIndividualError(iterations);
Console.WriteLine("End...");
}
private void DieOfAge(int maxAge)
{
if (PopulationList.Exists(x => x.Age > maxAge))
{
PopulationList = PopulationList.OrderBy(x => x.Age).ToList();
NeuronNet firstOld = PopulationList.First(x => x.Age > maxAge);
int index = PopulationList.IndexOf(firstOld);
PopulationList.RemoveRange(index, PopulationList.Count - index);
PopulationList = PopulationList.OrderBy(x => x.Error).ToList();
}
}
private void PrintBestIndividualError(int iteration)
{
double error = PopulationList.First().Error;
Console.WriteLine(error + " iteration N°: " + iteration);
}