public double[] EvaluateNetworkMultipleObjective(INetwork network)
{
INetwork tempNet = null;
NeatGenome.NeatGenome tempGenome = null;
tempGenome = substrate.generateGenome(network);
tempNet = tempGenome.Decode(null);
SharpNeatExperiments.Pacman.MyForm1.neatGenome = tempGenome;
SharpNeatExperiments.Pacman.MyForm1.network = tempNet;
double retries = 1;
double totalFitness = 0;
double totalEatScore = 0;
double totalLifeScore = 0;
for (int i = 0; i < retries; i++)
{
var pacman = new PacmanAINeural.NeuralPacmanSUPG();
//pacman.SetBrain(network);
pacman.SetBrain(tempNet, true, tempGenome, network, substrate.getSUPGMap());
var simplePacmanController = new PacmanAINeural.SimplePacmanController();
simplePacmanController.SetBrain(tempNet, true, tempGenome, network, substrate.getSUPGMap());
Visualizer visualizer = null;
SharpNeatExperiments.Pacman.SimplePacman simplePacman = null;
Thread visualizerThread;
visualizerThread = new System.Threading.Thread(delegate()
{
simplePacman = new SharpNeatExperiments.Pacman.SimplePacman(simplePacmanController, false);
System.Windows.Forms.Application.Run(simplePacman);
//visualizer = new Visualizer(pacman);
//System.Windows.Forms.Application.Run(visualizer);
});
visualizerThread.Start();
visualizerThread.Join();
totalFitness += simplePacman.returnGameScore;
totalEatScore += simplePacman.returnEatScore;
totalLifeScore += simplePacman.returnLifeScore;
}
double avgFitness = totalFitness / retries;
double avgEatScore = totalEatScore / retries;
double avgLifeScore = totalLifeScore / retries;
return(new double[] { avgFitness, avgEatScore, avgLifeScore });
}
public double EvaluateNetwork(INetwork network)
{
INetwork tempNet = null;
NeatGenome.NeatGenome tempGenome = null;
tempGenome = substrate.generateGenome(network);
tempNet = tempGenome.Decode(null);
SharpNeatExperiments.Pacman.MyForm1.neatGenome = tempGenome;
SharpNeatExperiments.Pacman.MyForm1.network = tempNet;
SharpNeatExperiments.Pacman.MyForm1.InitStartLine();
double retries = 1;
double totalFitness = 0;
for (int i = 0; i < retries; i++)
{
var simplePacmanController = new PacmanAINeural.SPSUPGController();
simplePacmanController.SetBrain(tempNet, false, tempGenome, network, substrate.getSUPGMap());
simplePacmanController.Substrate = substrate;
SharpNeatExperiments.Pacman.SimplePacman simplePacman = null;
Thread visualizerThread;
visualizerThread = new System.Threading.Thread(delegate()
{
bool fastNoDraw = true;
simplePacman = new SharpNeatExperiments.Pacman.SimplePacman(simplePacmanController, fastNoDraw, new Random(i));
if (!fastNoDraw)
{
System.Windows.Forms.Application.Run(simplePacman);
}
});
visualizerThread.Start();
visualizerThread.Join();
totalFitness += simplePacman.returnGameScore;// visualizer.returnGameState;
}
double avgFitness = totalFitness / retries;
return(avgFitness);
/*int time = visualizer.returnGameState;
* return (double)time;//fitness;*/
}
public SimplePacmanEnemyController(SharpNeatExperiments.Pacman.SimplePacman gameState)
{
pos = new Point(0, 0);
this.gameState = gameState;
}
