public static void Main(string[] args)
{
NEATGame ng = new NEATGame();
Thread play = new Thread(new ThreadStart(ng.Game));
play.IsBackground = true;
play.Start();
// 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.
KeepawayExperiment experiment = new KeepawayExperiment();
// Load config XML.
XmlDocument xmlConfig = new XmlDocument();
xmlConfig.Load("Keepaway.config.xml");
experiment.Initialize("Keepaway", xmlConfig.DocumentElement);
// 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();
NEATProgram np = new NEATProgram();
np.WorkMethod();
//ThreadPool.QueueUserWorkItem(new WaitCallback(WorkMethod), eventAuto);
}
public FitnessInfo Evaluate(IBlackBox agent)
{
double fitness = 0;
double[] score = new double[4];
//synchronize the access to game controller
lock (this)
{
//call a keepaway game controller
fitness = NEATGame.FitnessValue(agent, out score);
}
_evalCount++;
fitness /= scale;
//termination condition
if (fitness >= 1)
{
_stopConditionSatisfied = true;
}
return(new FitnessInfo(fitness, score));
}
public FitnessInfo Evaluate(IBlackBox agent, out double[] behVector)
{
config = KPExperimentConfig.Load("KPExperimentConfig.xml");
double fitness = 0;
double[] values = new double[4];
//synchronize the access to game controller
lock (this)
{
//call a keepaway game controller
fitness = NEATGame.FitnessValue(agent, out values);
}
behVector = values;
_evalCount++;
fitness /= scale;
//termination condition
if (fitness >= 1)
{
_stopConditionSatisfied = true;
}
return(new FitnessInfo(fitness, fitness));
}
