public Population(int count)
{
Generation = 0;
Players = new List <PopulationItem> ();
for (int i = 0; i < count; i++)
{
var item = new PopulationItem();
item.Player = AIGeneticPlayer.CreateRandom();
Players.Add(item);
}
}
private IEnumerator RunningGeneration(int generationsCount)
{
for (int generationInd = 0; generationInd < generationsCount; generationInd++)
{
Thread thread = new Thread(new ThreadStart(() => {
PlayGeneration(_population.Players, GamesPerPlayer, (maxScores, averageScores, model) => {
for (int i = 0; i < _population.Players.Count; i++)
{
_population.Players[i].MaxScore = maxScores[i];
_population.Players[i].AverageScore = averageScores[i];
_bestGamePlayerModel = model;
}
});
}));
thread.Start();
while (thread.IsAlive)
{
yield return(new WaitForEndOfFrame());
}
_population.Generation++;
_population.Players.Sort((player1, player2) => {
return(player1.AverageScore.CompareTo(player2.AverageScore));
});
// Remove worst genes.
int DeathCount = Mathf.RoundToInt(DeathRate * _population.Players.Count);
for (int i = 0; i < DeathCount; i++)
{
_population.Players.RemoveAt(0);
}
// Add best genes.
int ReproductiveCount = Mathf.RoundToInt(ReproductivePercent * _population.Players.Count);
for (int i = 0; i < DeathCount; i++)
{
int parent1Ind = _population.Players.Count - UnityEngine.Random.Range(0, ReproductiveCount) - 1;
int parent2Ind = _population.Players.Count - UnityEngine.Random.Range(0, ReproductiveCount) - 1;
AIGeneticPlayer child = AIGeneticPlayer.CreateFromCrossover(_population.Players[parent1Ind].Player, _population.Players[parent2Ind].Player);
PopulationItem childItem = new PopulationItem();
childItem.Player = child;
_population.Players.Insert(0, childItem);
}
UpdateView();
}
}
