/// <summary>
/// Initialize the experiment with some optional XML configuration data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
_neatGenomeParams.ActivationFn = LeakyReLU.__DefaultInstance;
}
/// <summary>
/// Initialize the experiment with some optional XML configutation data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_parasiteCount = XmlUtils.GetValueAsInt(xmlConfig, "ParasiteCount");
_championCount = XmlUtils.GetValueAsInt(xmlConfig, "ChampionCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
}
/// <summary>
/// Initialize the experiment with some optional XML configutation data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationSchemeCppn = ExperimentUtils.CreateActivationScheme(xmlConfig, "ActivationCppn");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_lengthCppnInput = XmlUtils.GetValueAsBool(xmlConfig, "LengthCppnInput");
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.FeedforwardOnly = _activationSchemeCppn.AcyclicNetwork;
_neatGenomeParams.InitialInterconnectionsProportion = 0.5;
}
public void Initialize(string name, XmlElement xmlConfig)
{
// Read these from Domain XML file
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationSchemeCppn = ExperimentUtils.CreateActivationScheme(xmlConfig, "ActivationCppn");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_parallelOptions.MaxDegreeOfParallelism = Environment.ProcessorCount / 2;
_visualFieldResolution = XmlUtils.GetValueAsInt(xmlConfig, "Resolution");
_visualFieldPixelCount = _visualFieldResolution * _visualFieldResolution;
_lengthCppnInput = XmlUtils.GetValueAsBool(xmlConfig, "LengthCppnInput");
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
// Set these manually, use a high mutator just to test the water
_neatGenomeParams = new NeatGenomeParameters()
{
AddConnectionMutationProbability = 0.10,
DeleteConnectionMutationProbability = 0.10,
ConnectionWeightMutationProbability = 0.90,
AddNodeMutationProbability = 0.05,
InitialInterconnectionsProportion = 0.10
};
// Clear OUTPUT and FITNESS directories before starting
var directory = new DirectoryInfo(Constants.OUTPUT_DIR);
directory.Empty();
directory = new DirectoryInfo(Constants.FITNESS_DIR);
directory.Empty();
directory = new DirectoryInfo(Constants.PLOTS_DIR);
directory.Empty();
}
/// <summary>
/// Initialize the experiment with some optional XML configuration data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationSchemeCppn = ExperimentUtils.CreateActivationScheme(xmlConfig, "ActivationCppn");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_visualFieldResolution = XmlUtils.GetValueAsInt(xmlConfig, "Resolution");
_visualFieldPixelCount = _visualFieldResolution * _visualFieldResolution;
_lengthCppnInput = XmlUtils.GetValueAsBool(xmlConfig, "LengthCppnInput");
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
}
public void Initialize(string name, XmlElement xmlConfig)
{
Name = name;
DefaultPopulationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
Description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
NeatEvolutionAlgorithmParameters = new NeatEvolutionAlgorithmParameters {
SpecieCount = _specieCount
};
NeatGenomeParameters = new NeatGenomeParameters {
FeedforwardOnly = _activationScheme.AcyclicNetwork
};
// var figterType = XmlUtils.TryGetValueAsString(xmlConfig, "Figter");
// var type = Type.GetType(figterType);
}
/// <summary>
/// Initialize the experiment with some optional XML configutation data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
ExperimentUtils.ReadRbfAuxArgMutationConfig(xmlConfig, out _rbfMutationSigmaCenter, out _rbfMutationSigmaRadius);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
_neatGenomeParams.ConnectionWeightMutationProbability = 0.788;
_neatGenomeParams.AddConnectionMutationProbability = 0.001;
_neatGenomeParams.AddConnectionMutationProbability = 0.01;
_neatGenomeParams.NodeAuxStateMutationProbability = 0.2;
_neatGenomeParams.DeleteConnectionMutationProbability = 0.001;
// Determine what function to regress.
string fnIdStr = XmlUtils.GetValueAsString(xmlConfig, "Function");
FunctionId fnId = (FunctionId)Enum.Parse(typeof(FunctionId), fnIdStr);
_func = FunctionRegressionEvaluator.GetFunction(fnId);
// Read parameter sampling scheme settings.
int sampleResolution = XmlUtils.GetValueAsInt(xmlConfig, "SampleResolution");
double sampleMin = XmlUtils.GetValueAsDouble(xmlConfig, "SampleMin");
double sampleMax = XmlUtils.GetValueAsDouble(xmlConfig, "SampleMax");
int paramCount = _func.InputCount;
_paramSamplingInfoArr = new ParameterSamplingInfo[paramCount];
for (int i = 0; i < paramCount; i++)
{
_paramSamplingInfoArr[i] = new ParameterSamplingInfo(sampleMin, sampleMax, sampleResolution);
}
}
public void Initialize(string name, XmlElement xmlConfig, string givenUserName)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
ActiveUsersList <NeatGenome> .PopulationSize = _populationSize;
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
ActiveUsersList <NeatGenome> .MaxNumberOfUsers =
XmlUtils.GetValueAsInt(xmlConfig, "MaxSimultaneousUsers");
ActiveUsersList <NeatGenome> .PortsPerUser =
XmlUtils.GetValueAsInt(xmlConfig, "PortsPerUser");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
System.Diagnostics.Debug.Assert(CheckActivationScheme(_activationScheme));
userName = givenUserName;
}
/// <summary>
/// Initialize the experiment with some optional XML configuration data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
T GetValueAsEnum <T>(string e)
{
string r = XmlUtils.GetValueAsString(xmlConfig, e);
return((T)System.Enum.Parse(typeof(T), r));
}
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_numberOfGames = XmlUtils.GetValueAsInt(xmlConfig, "IPDGames");
int seed = XmlUtils.GetValueAsInt(xmlConfig, "RandomPlayerSeed");
int randoms = XmlUtils.GetValueAsInt(xmlConfig, "RandomPlayerCount");
string os = XmlUtils.TryGetValueAsString(xmlConfig, "StaticOpponents");
_opponentPool = CreatePool(seed, randoms, (os == null) ? new Opponent[0] : System.Array.ConvertAll(os.Split(','), (string o) => { return((Opponent)System.Enum.Parse(typeof(Opponent), o, true)); }));
_evaluationLimit = (ulong)XmlUtils.GetValueAsInt(xmlConfig, "EvaluationLimit");
_evaluationMode = GetValueAsEnum <EvaluationMode>("EvaluationMode");
_noveltyMetric = GetValueAsEnum <NoveltyMetric>("NoveltyMetric");
_noveltyK = XmlUtils.GetValueAsInt(xmlConfig, "NoveltyK");
_randomRobustCheck = XmlUtils.GetValueAsInt(xmlConfig, "RandomRobustCheck");
_pastInputReach = XmlUtils.GetValueAsInt(xmlConfig, "PastInputReach");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
}
/// <summary>
/// Initialize the experiment with some optional XML configuration data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_trialsPerEvaluation = XmlUtils.GetValueAsInt(xmlConfig, "TrialsPerEvaluation");
_gridSize = XmlUtils.GetValueAsInt(xmlConfig, "GridSize");
_preyInitMoves = XmlUtils.GetValueAsInt(xmlConfig, "PreyInitMoves");
_preySpeed = XmlUtils.GetValueAsDouble(xmlConfig, "PreySpeed");
_sensorRange = XmlUtils.GetValueAsDouble(xmlConfig, "SensorRange");
_maxTimesteps = XmlUtils.GetValueAsInt(xmlConfig, "MaxTimesteps");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
}
/// <summary>
/// Initialize the experiment with some optional XML configutation data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
ExperimentUtils.ReadRbfAuxArgMutationConfig(xmlConfig, out _rbfMutationSigmaCenter, out _rbfMutationSigmaRadius);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.ConnectionWeightMutationProbability = 0.788;
_neatGenomeParams.AddConnectionMutationProbability = 0.001;
_neatGenomeParams.AddConnectionMutationProbability = 0.01;
_neatGenomeParams.NodeAuxStateMutationProbability = 0.2;
_neatGenomeParams.DeleteConnectionMutationProbability = 0.001;
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
}
/// <summary>
/// Initialize the experiment with some optional XML configuration data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
//_neatGenomeParams.ActivationFn = BipolarSigmoid.__DefaultInstance;
//_neatGenomeParams.ActivationFn = LeakyReLU.__DefaultInstance; //Muy buen desempeño
//_neatGenomeParams.ActivationFn = Linear.__DefaultInstance; //Meeh
//_neatGenomeParams.ActivationFn = LogisticFunction.__DefaultInstance; //Estancamiento
//_neatGenomeParams.ActivationFn = PolynomialApproximantSteep.__DefaultInstance; //Buen desempeño, permite mas complejidad
//_neatGenomeParams.ActivationFn = SReLU.__DefaultInstance; //No ha mucha mejora respecto a los anteriores
_neatGenomeParams.ActivationFn = PureLinear.__DefaultInstance;
}
/// <summary>
/// Initialize the experiment with some optional XML configutation data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_eaParams.SelectionProportion = 0.4;
_eaParams.ElitismProportion = 0.8;
_eaParams.OffspringAsexualProportion = 0.95;
_eaParams.OffspringSexualProportion = 0.05;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.AddConnectionMutationProbability = 0.08;
_neatGenomeParams.AddNodeMutationProbability = 0.01;
_neatGenomeParams.ConnectionWeightMutationProbability = 0.91;
_neatGenomeParams.FitnessHistoryLength = 4;
}
/// <summary>
/// Initialize the experiment with some optional XML configuration data.
/// </summary>
public void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_populationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
_specieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount");
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
_complexityRegulationStr = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
_complexityThreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description");
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_seed = XmlUtils.GetValueAsInt(xmlConfig, "Seed");
_datasetPath = XmlUtils.TryGetValueAsString(xmlConfig, "DatasetPath");
_normalizeData = XmlUtils.GetValueAsBool(xmlConfig, "NormalizeData");
_normalizeRange = XmlUtils.GetValueAsInt(xmlConfig, "NormalizeRange");
_dataLoader = new EasyChangeDataLoader();
_eaParams = new NeatEvolutionAlgorithmParameters();
_eaParams.SpecieCount = _specieCount;
_neatGenomeParams = new NeatGenomeParameters();
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
_neatGenomeParams.ActivationFn = LeakyReLU.__DefaultInstance;
_maxGen = XmlUtils.GetValueAsInt(xmlConfig, "MaxGen");
_testPorcentage = (XmlUtils.GetValueAsInt(xmlConfig, "TestPorcentage") * 1.0) / 100;
_savePeriod = XmlUtils.GetValueAsInt(xmlConfig, "SavePeriod");
}
/// <inheritdoc />
/// <summary>
/// Initializes the MCC maze navigation experiment by reading in all of the configuration parameters and
/// setting up the bootstrapping/initialization algorithm.
/// </summary>
/// <param name="name">The name of the experiment.</param>
/// <param name="xmlConfig">The reference to the XML configuration file.</param>
/// <param name="population1EvolutionLogger">The navigator evolution data logger.</param>
/// <param name="population1PopulationLogger">The navigator population logger.</param>
/// <param name="population1GenomeLogger">The navigator genome logger.</param>
/// <param name="population2EvolutionLogger">The maze evolution data logger.</param>
/// <param name="population2PopulationLogger">The maze population logger.</param>
/// <param name="population2GenomeLogger">The maze genome logger.</param>
public virtual void Initialize(string name, XmlElement xmlConfig,
IDataLogger population1EvolutionLogger = null, IDataLogger population1PopulationLogger = null,
IDataLogger population1GenomeLogger = null, IDataLogger population2EvolutionLogger = null,
IDataLogger population2PopulationLogger = null, IDataLogger population2GenomeLogger = null)
{
// Set boiler plate properties
Name = name;
Description = XmlUtils.GetValueAsString(xmlConfig, "Description");
ActivationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
ParallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
// Set the genome parameters
NeatGenomeParameters = ExperimentUtils.ReadNeatGenomeParameters(xmlConfig);
NeatGenomeParameters.FeedforwardOnly = ActivationScheme.AcyclicNetwork;
MazeGenomeParameters = ExperimentUtils.ReadMazeGenomeParameters(xmlConfig);
// Configure evolutionary algorithm parameters
AgentDefaultPopulationSize = XmlUtils.GetValueAsInt(xmlConfig, "AgentPopulationSize");
MazeDefaultPopulationSize = XmlUtils.GetValueAsInt(xmlConfig, "MazePopulationSize");
AgentSeedGenomeCount = XmlUtils.GetValueAsInt(xmlConfig, "AgentSeedGenomeCount");
MazeSeedGenomeCount = XmlUtils.GetValueAsInt(xmlConfig, "MazeSeedGenomeCount");
AgentNumSpecies = XmlUtils.GetValueAsInt(xmlConfig, "AgentNumSpecies");
MazeNumSpecies = XmlUtils.GetValueAsInt(xmlConfig, "MazeNumSpecies");
BehaviorCharacterizationFactory = ExperimentUtils.ReadBehaviorCharacterizationFactory(xmlConfig,
"BehaviorConfig");
NavigatorBatchSize = XmlUtils.GetValueAsInt(xmlConfig, "NavigatorOffspringBatchSize");
MazeBatchSize = XmlUtils.GetValueAsInt(xmlConfig, "MazeOffspringBatchSize");
// Set run-time bounding parameters
MaxGenerations = XmlUtils.TryGetValueAsInt(xmlConfig, "MaxGenerations");
MaxEvaluations = XmlUtils.TryGetValueAsULong(xmlConfig, "MaxEvaluations");
// Set experiment-specific parameters
MinSuccessDistance = XmlUtils.GetValueAsInt(xmlConfig, "MinSuccessDistance");
MazeHeight = XmlUtils.GetValueAsInt(xmlConfig, "MazeHeight");
MazeWidth = XmlUtils.GetValueAsInt(xmlConfig, "MazeWidth");
MazeQuadrantHeight = XmlUtils.GetValueAsInt(xmlConfig, "MazeQuadrantHeight");
MazeQuadrantWidth = XmlUtils.GetValueAsInt(xmlConfig, "MazeQuadrantWidth");
MazeScaleMultiplier = XmlUtils.GetValueAsInt(xmlConfig, "MazeScaleMultiplier");
// Get success/failure criteria constraints
NumMazeSuccessCriteria = XmlUtils.GetValueAsInt(xmlConfig, "NumMazesSolvedCriteria");
NumAgentSuccessCriteria = XmlUtils.GetValueAsInt(xmlConfig, "NumAgentsSolvedCriteria");
NumAgentFailedCriteria = XmlUtils.GetValueAsInt(xmlConfig, "NumAgentsFailedCriteria");
// Read in the maximum number of initialization evaluations
_maxInitializationEvaluations = XmlUtils.GetValueAsUInt(xmlConfig, "MaxInitializationEvaluations");
// Initialize the initialization algorithm
_mazeNavigationInitializer =
ExperimentUtils.DetermineMCCInitializer(
xmlConfig.GetElementsByTagName("InitializationAlgorithmConfig", "")[0] as XmlElement);
// Setup initialization algorithm
_mazeNavigationInitializer.SetAlgorithmParameters(
xmlConfig.GetElementsByTagName("InitializationAlgorithmConfig", "")[0] as XmlElement,
ActivationScheme.AcyclicNetwork, NumAgentSuccessCriteria, 0);
// Pass in maze experiment specific parameters
// (note that a new maze structure is created here for the sole purpose of extracting the maze dimensions and calculating max distance to target)
_mazeNavigationInitializer.SetEnvironmentParameters(MinSuccessDistance,
new MazeDecoder(MazeScaleMultiplier).Decode(
new MazeGenomeFactory(MazeGenomeParameters, MazeHeight, MazeWidth, MazeQuadrantHeight,
MazeQuadrantWidth).CreateGenome(0)));
// The size of the randomly generated agent genome pool from which to evolve agent bootstraps
AgentInitializationGenomeCount = _mazeNavigationInitializer.PopulationSize;
}
/// <summary>
/// Initialize the experiment with some optional XML configutation data.
/// </summary>
public virtual void Initialize(string name, XmlElement xmlConfig)
{
_name = name;
_description = XmlUtils.TryGetValueAsString(xmlConfig, "Description") ?? "";
_comment = XmlUtils.TryGetValueAsString(xmlConfig, "Comment") ?? "";
_populationSize = XmlUtils.TryGetValueAsInt(xmlConfig, "PopulationSize") ?? 100;
_maxGenerations = XmlUtils.TryGetValueAsInt(xmlConfig, "MaxGenerations") ?? 1000;
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
SeedGenome = XmlUtils.TryGetValueAsString(xmlConfig, "SeedGenome");
try
{
_complexityRegulationStrategy = ExperimentUtils.CreateComplexityRegulationStrategy(xmlConfig, "ComplexityRegulation");
}
catch (ArgumentException e)
{
_logger.Warn(e.Message);
}
_parallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
_multiThreading = XmlUtils.TryGetValueAsBool(xmlConfig, "MultiThreading") ?? true;
_logInterval = XmlUtils.TryGetValueAsInt(xmlConfig, "LogInterval") ?? 10;
// Evolutionary algorithm parameters
_eaParams = new NeatEvolutionAlgorithmParameters();
XmlElement xmlEAParams = xmlConfig.SelectSingleNode("EAParams") as XmlElement;
if (xmlEAParams != null)
{
_eaParams.SpecieCount = XmlUtils.GetValueAsInt(xmlEAParams, "SpecieCount");
_eaParams.ElitismProportion = XmlUtils.GetValueAsDouble(xmlEAParams, "ElitismProportion");
_eaParams.SelectionProportion = XmlUtils.GetValueAsDouble(xmlEAParams, "SelectionProportion");
_eaParams.OffspringAsexualProportion = XmlUtils.GetValueAsDouble(xmlEAParams, "OffspringAsexualProportion");
_eaParams.OffspringSexualProportion = XmlUtils.GetValueAsDouble(xmlEAParams, "OffspringSexualProportion");
_eaParams.InterspeciesMatingProportion = XmlUtils.GetValueAsDouble(xmlEAParams, "InterspeciesMatingProportion");
}
else
{
_logger.Info("EA parameters not found. Using default.");
}
// NEAT Genome parameters
_neatGenomeParams = new NeatGenomeParameters();
// Prevent recurrent connections if the activation scheme is acyclic
_neatGenomeParams.FeedforwardOnly = _activationScheme.AcyclicNetwork;
XmlElement xmlGenomeParams = xmlConfig.SelectSingleNode("GenomeParams") as XmlElement;
if (xmlGenomeParams != null)
{
_neatGenomeParams.ConnectionWeightRange = XmlUtils.GetValueAsDouble(xmlGenomeParams, "ConnectionWeightRange");
_neatGenomeParams.InitialInterconnectionsProportion = XmlUtils.GetValueAsDouble(xmlGenomeParams, "InitialInterconnectionsProportion");
_neatGenomeParams.DisjointExcessGenesRecombinedProbability = XmlUtils.GetValueAsDouble(xmlGenomeParams, "DisjointExcessGenesRecombinedProbability");
_neatGenomeParams.ConnectionWeightMutationProbability = XmlUtils.GetValueAsDouble(xmlGenomeParams, "ConnectionWeightMutationProbability");
_neatGenomeParams.AddNodeMutationProbability = XmlUtils.GetValueAsDouble(xmlGenomeParams, "AddNodeMutationProbability");
_neatGenomeParams.AddConnectionMutationProbability = XmlUtils.GetValueAsDouble(xmlGenomeParams, "AddConnectionMutationProbability");
_neatGenomeParams.DeleteConnectionMutationProbability = XmlUtils.GetValueAsDouble(xmlGenomeParams, "DeleteConnectionMutationProbability");
}
else
{
_logger.Info("Genome parameters not found. Using default.");
}
XmlElement xmlNoveltySearchParams = xmlConfig.SelectSingleNode("NoveltySearch") as XmlElement;
if (xmlNoveltySearchParams != null)
{
_noveltySearchParams = NoveltySearchParameters.ReadXmlProperties(xmlNoveltySearchParams);
}
else
{
_logger.Info("Novelty search parameters not found");
}
XmlElement xmlMultiObjectiveParams = xmlConfig.SelectSingleNode("MultiObjective") as XmlElement;
if (xmlMultiObjectiveParams != null)
{
_multiObjectiveParams = MultiObjectiveParameters.ReadXmlProperties(xmlMultiObjectiveParams);
}
else
{
_logger.Info("Multi objective parameters not found");
}
// Create IBlackBox evaluator.
_evaluator = new TEvaluator();
_evaluator.Initialize(xmlConfig);
_evaluator.NoveltySearchParameters = _noveltySearchParams;
}
