public void Init(IMLTrain train)
{
Method = (MLMethodGeneticAlgorithm)train;
Adversaries = new List <Adversaries>();
var r = new RangeRandomizer(-1, 1);
for (int i = 0; i < 6; i++)
{
Adversaries.Add(new Adversaries()
{
PlayerStart = r.NextDouble() >= 0.5 ? 1.0 : -1.0, Player = new PlayerVertical(i)
});
Adversaries.Add(new Adversaries()
{
PlayerStart = r.NextDouble() >= 0.5 ? 1.0 : -1.0, Player = new PlayerHorizontal(i)
});
}
BaseAdversaries = Adversaries.ToList();
}
//public void Init(IMLTrain train, )
//{
// Method = (MLMethodGeneticAlgorithm)train;
// var r = new RangeRandomizer(-1, 1);
// Adversaries = new List<Adversaries>();
// Adversaries.Add(new Adversaries() { PlayerStart = 1, Player = new PlayerVertical(1) });
// Adversaries.Add(new Adversaries() { PlayerStart = -1, Player = new PlayerHorizontal(-1) });
// Adversaries.Add(new Adversaries() { PlayerStart = -1, Player = new PlayerVertical(-1) });
// Adversaries.Add(new Adversaries() { PlayerStart = 1, Player = new PlayerHorizontal(1) });
//}
public void PostIteration()
{
//Method.Genetic.ScoreFunction = new GameScore((BasicNetwork)Method.Method);
var r = new RangeRandomizer(-1, 1);
var f = Method.Genetic.Population.Flatten();
var Adv = Method.Genetic.Population.Flatten().Select(
x => new Adversaries {
Player = new PlayerNetwork((x as MLMethodGenome).Phenotype as BasicNetwork)
{
BaseScore = x.Score / Adversaries.Count
}, PlayerStart = r.NextDouble() >= 0.5 ? 1.0 : -1.0
}).ToList();
Adv.AddRange(Adversaries);
Adv.Sort((x1, x2) => x2.Player.BaseScore.CompareTo(x1.Player.BaseScore));
Adversaries = BaseAdversaries.Concat(Adv.Take(5)).ToList();
}
public void PreIteration()
{
var s = Method.Genetic.ScoreFunction as GameScore;
var r = new RangeRandomizer(-1, 1);
s.Adversaries = Adversaries;
var Adv = Method.Genetic.Population.Flatten().Select(
x => new Adversaries {
Player = new PlayerNetwork((x as MLMethodGenome).Phenotype as BasicNetwork), PlayerStart = r.NextDouble() >= 0.5 ? 1.0 : -1.0
}).ToList();
//s.Adversaries = Method.Genetic.Population.Flatten().Select(
// x => new Adversaries { Player = new PlayerNetwork((x as MLMethodGenome).Phenotype as BasicNetwork), PlayerStart = r.NextDouble() >= 0.5 ? 1.0 : -1.0 }).ToList();
//s.Adversaries.AddRange(Adversaries);
}