public Game(NeatPlayer p, int id)
{
threadId = id;
player = p;
listener = new UdpClient(0);
port = ((IPEndPoint)listener.Client.LocalEndPoint).Port;
}
static void Main(string[] args)
{
//Initialise log4net (log to console).
XmlConfigurator.Configure(new FileInfo("log4net.properties"));
// Experiment classes encapsulate much of the nuts and bolts of setting up a NEAT search.
GameExperiment experiment = new GameExperiment();
// Load config XML.
XmlDocument xmlConfig = new XmlDocument();
xmlConfig.Load("game.config.xml");
experiment.Initialize("BrainGene", xmlConfig.DocumentElement);
if (LEARN)
{
// Create evolution algorithm and attach update event.
_ea = experiment.CreateEvolutionAlgorithm();
_ea.UpdateEvent += new EventHandler(ea_UpdateEvent);
//Start algorithm (it will run on a background thread).
_ea.StartContinue();
//Hit return to quit.
Console.ReadLine();
}
else
{
// Have the user choose the genome XML file.
NeatGenome genome = null;
// Try to load the genome from the XML document.
using (XmlReader xr = XmlReader.Create("C:\\Users\\Cantino\\Documents\\School\\Capstone\\NeatTicTacToe\\BrainGene\\bin\\Debug\\game_champion_gen_0.xml"))
genome = NeatGenomeXmlIO.ReadCompleteGenomeList(xr, false, (NeatGenomeFactory)experiment.CreateGenomeFactory())[0];
// Get a genome decoder that can convert genomes to phenomes.
var genomeDecoder = experiment.CreateGenomeDecoder();
// Decode the genome into a phenome (neural network).
var phenome = genomeDecoder.Decode(genome);
// Set the NEAT player's brain to the newly loaded neural network.
NeatPlayer player = new NeatPlayer(null);
player.Brain = phenome;
Game game = new Game(player, 0);
Console.WriteLine(game.PlayGameToEnd());
// Show the option to select the NEAT player
Console.ReadLine();
}
}
public FitnessInfo Evaluate(IBlackBox phenome)
{
double fitness = 0;
NeatPlayer neatPlayer = new NeatPlayer(phenome);
int threadId = Thread.CurrentThread.ManagedThreadId;
Game game = new Game(neatPlayer, threadId);
fitness = game.PlayGameToEnd();
// Update the evaluation counter.
_evalCount++;
if (fitness >= 4000)
{
_stopConditionSatisfied = true;
}
return(new FitnessInfo(fitness, fitness));
}
