static void Simulate()
{
var heuristic = new GaHeuristic(-0.317854214844296, -0.548457056926845, -0.434173510009484, -0.640044465657585);
//var heuristic = new YiyuanLeeHeuristic();
//var heuristic = new ElTetrisHeuristic();
//var heuristic = new ExperimentalHeuristic();
//var heuristic = new MaxBergmarkHeuristic();
var tetrisSearch = new TwoPieceSearch(heuristic);
//var tetrisSearch = new OnePieceSearch(heuristic);
//var tetrisSearch = new PredictiveSearch(heuristic);
//tetrisSearch.Cache = true;
//var tetrisSearch = new RecursiveSearch(heuristic);
//tetrisSearch.Depth = 3;
for (int i = 0; i < _games; i++)
{
Console.WriteLine($"Game {i + 1}");
var tetrisSimulator = new TetrisSimulator();
var engine = new SimulatorEngine(tetrisSearch, tetrisSimulator);
engine.FrameUpdateDelay = 1;
engine.PauseTime = 0;
engine.Multiplayer = false;
//engine.MaxHeight = 10;
engine.Render = false;
engine.Run();
}
}
public double EvaluateFitness(Chromosome chromosome)
{
var p1 = chromosome.Genes[0].RealValue;
var p2 = chromosome.Genes[1].RealValue;
var p3 = chromosome.Genes[2].RealValue;
var p4 = chromosome.Genes[3].RealValue;
var heuristic = new GaHeuristic(p1, p2, p3, p4);
var search = new TwoPieceSearch(heuristic);
var lines = SimulateAvg(search, _games, _pieces);
return(System.Math.Min((1.0 + lines) / 1000000.0, 1.0));
}
