public void initializeEvolution(int populationSize, NeatGenome seedGenome)
{
if (seedGenome == null)
{
initializeEvolution(populationSize);
return;
}
logOutput = new StreamWriter(outputFolder + "logfile.txt");
IdGenerator idgen = new IdGeneratorFactory().CreateIdGenerator(seedGenome);
ea = new EvolutionAlgorithm(new Population(idgen, GenomeFactory.CreateGenomeList(seedGenome, populationSize, experiment.DefaultNeatParameters, idgen)), experiment.PopulationEvaluator, experiment.DefaultNeatParameters);
}
/// <summary>
/// Initializes the EA with an initial population generated from a single seed genome.
/// </summary>
public void initializeEvolution(int populationSize, NeatGenome seedGenome)
{
if (seedGenome == null)
{
initializeEvolution(populationSize);
return;
}
LogOutput = Logging ? new StreamWriter(Path.Combine(OutputFolder, "log.txt")) : null;
FinalPositionOutput = FinalPositionLogging ? new StreamWriter(Path.Combine(OutputFolder,"final-position.txt")) : null;
ArchiveModificationOutput = FinalPositionLogging ? new StreamWriter(Path.Combine(OutputFolder, "archive-mods.txt")) : null;
ComplexityOutput = new StreamWriter(Path.Combine(OutputFolder, "complexity.txt"));
ComplexityOutput.WriteLine("avg,stdev,min,max");
if (FinalPositionLogging)
{
FinalPositionOutput.WriteLine("x,y");
ArchiveModificationOutput.WriteLine("ID,action,time,x,y");
}
IdGenerator idgen = new IdGeneratorFactory().CreateIdGenerator(seedGenome);
EA = new EvolutionAlgorithm(new Population(idgen, GenomeFactory.CreateGenomeList(seedGenome, populationSize, experiment.DefaultNeatParameters, idgen)), experiment.PopulationEvaluator, experiment.DefaultNeatParameters);
EA.outputFolder = OutputFolder;
EA.neatBrain = NEATBrain;
}
public void initializeEvolution(int populationSize, NeatGenome seedGenome)
{
if (seedGenome == null)
{
initializeEvolution(populationSize);
return;
}
if (logOutput != null)
logOutput.Close();
logOutput = new StreamWriter(outputFolder + "logfile.txt");
IdGenerator idgen = new IdGeneratorFactory().CreateIdGenerator(seedGenome);
ea = new EvolutionAlgorithm(new Population(idgen, GenomeFactory.CreateGenomeList(seedGenome, populationSize, neatParams, idgen)), populationEval, neatParams);
}
static void Main(string[] args)
{
string folder = "";
NeatGenome seedGenome = null;
string filename = null;
string shape = "triangle";
bool isMulti = false;
for (int j = 0; j < args.Length; j++)
{
if(j <= args.Length - 2)
switch (args[j])
{
case "-seed": filename = args[++j];
Console.WriteLine("Attempting to use seed from file " + filename);
break;
case "-folder": folder = args[++j];
Console.WriteLine("Attempting to output to folder " + folder);
break;
case "-shape": shape = args[++j];
Console.WriteLine("Attempting to do experiment with shape " + shape);
break;
case "-multi": isMulti = Boolean.Parse(args[++j]);
Console.WriteLine("Experiment is heterogeneous? " + isMulti);
break;
}
}
if(filename!=null)
{
try
{
XmlDocument document = new XmlDocument();
document.Load(filename);
seedGenome = XmlNeatGenomeReaderStatic.Read(document);
}
catch (Exception e)
{
System.Console.WriteLine("Problem loading genome. \n" + e.Message);
}
}
double maxFitness = 0;
int maxGenerations = 1000;
int populationSize = 150;
int inputs = 4;
IExperiment exp = new SkirmishExperiment(inputs, 1, isMulti, shape);
StreamWriter SW;
SW = File.CreateText(folder + "logfile.txt");
XmlDocument doc;
FileInfo oFileInfo;
IdGenerator idgen;
EvolutionAlgorithm ea;
if (seedGenome == null)
{
idgen = new IdGenerator();
ea = new EvolutionAlgorithm(new Population(idgen, GenomeFactory.CreateGenomeList(exp.DefaultNeatParameters, idgen, exp.InputNeuronCount, exp.OutputNeuronCount, exp.DefaultNeatParameters.pInitialPopulationInterconnections, populationSize)), exp.PopulationEvaluator, exp.DefaultNeatParameters);
}
else
{
idgen = new IdGeneratorFactory().CreateIdGenerator(seedGenome);
ea = new EvolutionAlgorithm(new Population(idgen, GenomeFactory.CreateGenomeList(seedGenome, populationSize, exp.DefaultNeatParameters, idgen)), exp.PopulationEvaluator, exp.DefaultNeatParameters);
}
for (int j = 0; j < maxGenerations; j++)
{
DateTime dt = DateTime.Now;
ea.PerformOneGeneration();
if (ea.BestGenome.Fitness > maxFitness)
{
maxFitness = ea.BestGenome.Fitness;
doc = new XmlDocument();
XmlGenomeWriterStatic.Write(doc, (NeatGenome)ea.BestGenome);
oFileInfo = new FileInfo(folder + "bestGenome" + j.ToString() + ".xml");
doc.Save(oFileInfo.FullName);
// This will output the substrate, uncomment if you want that
/* doc = new XmlDocument();
XmlGenomeWriterStatic.Write(doc, (NeatGenome) SkirmishNetworkEvaluator.substrate.generateMultiGenomeModulus(ea.BestGenome.Decode(null),5));
oFileInfo = new FileInfo(folder + "bestNetwork" + j.ToString() + ".xml");
doc.Save(oFileInfo.FullName);
*/
}
Console.WriteLine(ea.Generation.ToString() + " " + ea.BestGenome.Fitness + " " + (DateTime.Now.Subtract(dt)));
//Do any post-hoc stuff here
SW.WriteLine(ea.Generation.ToString() + " " + (maxFitness).ToString());
}
SW.Close();
doc = new XmlDocument();
XmlGenomeWriterStatic.Write(doc, (NeatGenome)ea.BestGenome, ActivationFunctionFactory.GetActivationFunction("NullFn"));
oFileInfo = new FileInfo(folder + "bestGenome.xml");
doc.Save(oFileInfo.FullName);
}
