private void FitGeneration()
{
var fitnessList = new List <int>();
foreach (var robot in Population)
{
robot.CalculateFitness();
fitnessList.Add(robot.Fitness);
try
{
if (robot.Fitness > BestRun.Fitness)
{
BestRun = robot;
}
if (robot.Fitness < WorstRun.Fitness)
{
WorstRun = robot;
}
}
catch (Exception e)
{
BestRun = robot;
WorstRun = robot;
}
}
GeneticOperations.SetGenerationReproductionProbabilities(Population);
FitnessAverage = MathematicalOperations.Average(fitnessList, fitnessList.Count);
}
