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;
double retries = 5;
double totalFitness = 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()
{
bool fastNoDraw = false;
simplePacman = new SharpNeatExperiments.Pacman.SimplePacman(simplePacmanController, fastNoDraw);
if (!fastNoDraw)
{
System.Windows.Forms.Application.Run(simplePacman);
}
//visualizer = new Visualizer(pacman);
//System.Windows.Forms.Application.Run(visualizer);
});
visualizerThread.Start();
visualizerThread.Join();
totalFitness += simplePacman.returnGameScore;// visualizer.returnGameState;
}
double avgFitness = totalFitness / retries;
return(avgFitness);
/*int time = visualizer.returnGameState;
* return (double)time;//fitness;*/
}
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;
double retries = 1;
double totalFitness = 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 supgonlyController = new PacmanAINeural.SUPGONLYController();
supgonlyController.SetBrain(tempNet, true, tempGenome, network, substrate.getSUPGMap());
Thread visualizerThread;
visualizerThread = new System.Threading.Thread(delegate()
{
int tmpCounter = 0;
while (tmpCounter < 200)
{
//supgonlyController.dummyMasterFreqValue = (float)Math.Sin(tmpCounter*0.1f);
if (tmpCounter % 50 == 0)
{
supgonlyController.makeAChangeInMasterFreq();
}
if (tmpCounter == 80)
{
//supgonlyController.makeAChangeInMasterFreq();
}
supgonlyController.Think();
/*simplePacman = new SharpNeatExperiments.Pacman.SimplePacman(simplePacmanController);
* System.Windows.Forms.Application.Run(simplePacman);*/
//visualizer = new Visualizer(pacman);
//System.Windows.Forms.Application.Run(visualizer);
//Thread.Sleep(50);
tmpCounter++;
}
});
visualizerThread.Start();
visualizerThread.Join();
totalFitness += supgonlyController.dummyFitness;//simplePacman.returnGameScore;// visualizer.returnGameState;
}
double avgFitness = totalFitness / retries;
//Console.WriteLine("newEvaluation" + avgFitness);
return(avgFitness);
/*int time = visualizer.returnGameState;
* return (double)time;//fitness;*/
}
