/// <summary>
/// Method to be called by the "Pause EA" button.
/// </summary>
public void PauseEA()
{
if (_ea != null && _ea.RunState == RunState.Running)
{
_ea.RequestPause();
}
}
private void Stop_Click(object sender, RoutedEventArgs e)
{
try
{
_ea.RequestPause();
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString(), this.Title, MessageBoxButton.OK, MessageBoxImage.Error);
}
}
private void Start()
{
int populationSize = 100;
NetworkActivationScheme activationScheme = NetworkActivationScheme.CreateAcyclicScheme();
NeatGenomeParameters neatParams = new NeatGenomeParameters();
neatParams.ActivationFn = TanH.__DefaultInstance;
neatParams.FeedforwardOnly = activationScheme.AcyclicNetwork;
IGenomeDecoder <NeatGenome, IBlackBox> neatDecoder = new NeatGenomeDecoder(activationScheme);
IGenomeFactory <NeatGenome> neatFactory = new NeatGenomeFactory(3, 3, neatParams);
List <NeatGenome> genomeList = neatFactory.CreateGenomeList(populationSize, 0);
ArenaEvaluator evaluator = GetComponent <ArenaEvaluator>();
evaluator.Initialize(neatDecoder);
IDistanceMetric distanceMetric = new ManhattanDistanceMetric(1.0, 0.0, 10.0);
// Evolution parameters
NeatEvolutionAlgorithmParameters neatEvolutionParams = new NeatEvolutionAlgorithmParameters();
neatEvolutionParams.SpecieCount = 10;
ISpeciationStrategy <NeatGenome> speciationStrategy = new KMeansClusteringStrategy <NeatGenome>(distanceMetric);
IComplexityRegulationStrategy complexityRegulationStrategy = new DefaultComplexityRegulationStrategy(ComplexityCeilingType.Absolute, 10);
NeatEvolutionAlgorithm <NeatGenome> ea = GetComponent <UnityEvolutionAlgorithm>();
ea.Construct(neatEvolutionParams, speciationStrategy, complexityRegulationStrategy, new NullGenomeListEvaluator <NeatGenome, IBlackBox>());
ea.Initialize(evaluator, neatFactory, genomeList);
ea.UpdateScheme = new UpdateScheme(1); // This needs to be set AFTER Initialize is called
ea.PausedEvent += (sender, e) =>
{
//ea.StartContinue();
};
ea.GenerationEvent += (sender, gen) =>
{
Debug.Log($"Generation {gen}");
Debug.Log($"Highest fitness: {ea.CurrentChampGenome.EvaluationInfo.Fitness}");
nnMesh.GenerateMesh(ea.CurrentChampGenome);
ea.RequestPause();
StartCoroutine(PauseRoutine(ea));
};
ea.StartContinue();
}
private EvaluationInfo[] TestGenome(NeatGenome genome, int iterations, int runs, bool createRecordings, bool generalize)
{
if (runs <= 0)
{
return(new EvaluationInfo[0]);
}
if (_ea != null && _ea.RunState == RunState.Running)
{
_ea.RequestPause();
}
// Create the genome decoder
IGenomeDecoder <NeatGenome, IBlackBox> decoder = CreateGenomeDecoder();
// Decode the genome (genotype => phenotype)
IBlackBox phenome = decoder.Decode(genome);
//TODO FIXME We had problems with the logger, it hangs at some point probably a buffer issue on the windows cmd???
//We had to disable the console appender on log4net and just log to the file, so there is now a console writeline instead
Debug.On = true;
_logger.Info($"Testing phenome {(generalize ? "generalization " : "")}(ID: {genome.Id})...");
Console.WriteLine($"Testing phenome (ID: {genome.Id})...");
EvaluationInfo[] fitness = new EvaluationInfo[runs];
CreateExperimentDirectoryIfNecessary();
// run evaluations
double minFitness = double.MaxValue;
double maxFitness = double.MinValue;
for (int i = 0; i < runs; i++)
{
if (generalize)
{
fitness[i] = _evaluator.TestPhenomeGeneralization(phenome, iterations);
fitness[i].GenomeId = genome.Id;
}
else
{
fitness[i] = _evaluator.TestPhenome(phenome, iterations);
}
if (fitness[i].ObjectiveFitnessMean < minFitness)
{
minFitness = fitness[i].ObjectiveFitnessMean;
}
if (fitness[i].ObjectiveFitnessMean > maxFitness)
{
maxFitness = fitness[i].ObjectiveFitnessMean;
}
if (createRecordings)
{
if (Recorder != null)
{
string recordingFile = generalize
? $"{RecordingGeneralizationFile($"{genome.Id}_{i}")}"
: $"{RecordingFile($"{genome.Id}_{i}")}";
string tapeFile = generalize
? $"{TapeGeneralizationFile($"{genome.Id}_{i}")}"
: $"{TapeFile($"{genome.Id}_{i}")}";
using (Bitmap bmp = Recorder.LifetimeToBitmap())
{
bmp.Save(recordingFile, ImageFormat.Png);
}
if (Recorder.FinalTuringTape != null)
{
using (Bitmap bmp = Recorder.TapeToBitmap())
{
bmp.Save(tapeFile, ImageFormat.Png);
}
}
}
else
{
_logger.Warn("Recorder was null");
break;
}
_logger.Info($"Run {i}: Achieved fitness: {fitness[i].ObjectiveFitnessMean:F4}");
Console.WriteLine($"Run {i}: Achieved fitness: {fitness[i].ObjectiveFitnessMean:F4}");
}
}
// evaluate runs
if (runs > 1)
{
double[] fit = new double[runs];
for (int i = 0; i < runs; i++)
{
fit[i] = fitness[i].ObjectiveFitnessMean;
}
double mean = Utilities.Mean(fit);
double sd = Utilities.StandartDeviation(fit);
//TODO FIXME We had problems with the logger, it hangs at some point probably a buffer issue on the windows cmd???
//We had to disable the console appender on log4net and just log to the file, so there is now a console writeline instead
_logger.Info($"Done. Average fitness: {mean:F4}, min fitness: {minFitness:F4}, max fitness: {maxFitness:F4}, sd: {sd:F4}");
Console.WriteLine($"Done. Average fitness: {mean:F4}, min fitness: {minFitness:F4}, max fitness: {maxFitness:F4}, sd: {sd:F4}");
}
return(fitness);
}
