public override void PerformIteration()
{
foreach (NeuroChromosome chromosome in Population)
{
for (int j = 0; j < TestGameEnvironment.Agents.Count; j++)
{
TestGameEnvironment.Agents[j] = new EnvironmentAgent(Random.Next(90, 100), Random.Next(90, 100),
Random.Next(0, 360), Color.Beige,
new NeuralNetwork())
{
HarvestedFood = 1
};
TestGameEnvironment.Agents[j].Brain.SetNetworkState(chromosome);
}
for (var i = 0; i < 1000; i++)
{
TestGameEnvironment.CalculateAgentsEnvironmentParameters();
TestGameEnvironment.GetHarvestedFood();
for (int index = 0; index < TestGameEnvironment.Agents.Count; index++)
{
var agent = TestGameEnvironment.Agents[index];
if (TestGameEnvironment.CanMove(agent))
{
agent.Move();
}
}
}
chromosome.FittnessValue = TestGameEnvironment.Agents.Sum(x => x.HarvestedFood);
}
var selection = Selection.Select(Population);
var crossover = Crossover.Perform(selection);
foreach (var chromosome in crossover)
{
Mutation.Mutate(chromosome);
}
Population.Remove(Population.FirstOrDefault(
x => x.FittnessValue == Population.Min(y => y.FittnessValue)));
Population.Remove(Population.FirstOrDefault(
x => x.FittnessValue == Population.Min(y => y.FittnessValue)));
Population.AddRange(crossover);
}