/// <summary>
/// Sets configuration variables specific to the maze navigation simulation.
/// </summary>
/// <param name="maxDistanceToTarget">The maximum distance possible from the target location.</param>
/// <param name="maxTimesteps">The maximum number of time steps for which to run the simulation.</param>
/// <param name="mazeVariant">The maze variant to run (i.e. medium/hard maze).</param>
/// <param name="minSuccessDistance">The minimum distance to the target location for the maze to be considered "solved".</param>
public void SetEnvironmentParameters(int maxDistanceToTarget, int maxTimesteps, MazeVariant mazeVariant,
int minSuccessDistance)
{
// Set boiler plate environment parameters
base.SetEnvironmentParameters(maxDistanceToTarget, maxTimesteps, minSuccessDistance);
_mazeVariant = mazeVariant;
}
/// <summary>
/// Initialize the experiment with configuration file parameters.
/// </summary>
/// <param name="name">The name of the experiment</param>
/// <param name="xmlConfig">The parent XML configuration element</param>
/// <param name="evolutionDataLogger">The optional evolution data logger.</param>
/// <param name="evaluationDataLogger">The optional evaluation data logger.</param>
public virtual void Initialize(string name, XmlElement xmlConfig, IDataLogger evolutionDataLogger,
IDataLogger evaluationDataLogger)
{
// Set all properties
Name = name;
DefaultPopulationSize = XmlUtils.TryGetValueAsInt(xmlConfig, "PopulationSize") ?? default(int);
Description = XmlUtils.GetValueAsString(xmlConfig, "Description");
// Set all internal class variables
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
ComplexityRegulationStrategy = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
Complexitythreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
ParallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
SerializeGenomeToXml = XmlUtils.TryGetValueAsBool(xmlConfig, "DecodeGenomesToXml") ?? false;
MaxGenerations = XmlUtils.TryGetValueAsInt(xmlConfig, "MaxGenerations");
MaxEvaluations = XmlUtils.TryGetValueAsULong(xmlConfig, "MaxEvaluations");
MaxRestarts = XmlUtils.TryGetValueAsInt(xmlConfig, "MaxRestarts");
// Set evolution/genome parameters
NeatEvolutionAlgorithmParameters = ExperimentUtils.ReadNeatEvolutionAlgorithmParameters(xmlConfig);
NeatGenomeParameters = ExperimentUtils.ReadNeatGenomeParameters(xmlConfig);
NeatGenomeParameters.FeedforwardOnly = _activationScheme.AcyclicNetwork;
// Set experiment-specific parameters
MaxTimesteps = XmlUtils.GetValueAsInt(xmlConfig, "MaxTimesteps");
MinSuccessDistance = XmlUtils.GetValueAsInt(xmlConfig, "MinSuccessDistance");
MaxDistanceToTarget = XmlUtils.GetValueAsInt(xmlConfig, "MaxDistanceToTarget");
MazeVariant =
MazeVariantUtil.convertStringToMazeVariant(XmlUtils.TryGetValueAsString(xmlConfig, "MazeVariant"));
}
/// <summary>
/// Initialize the experiment with database configuration parameters.
/// </summary>
/// <param name="experimentDictionary">The handle to the experiment dictionary row pulled from the database.</param>
public virtual void Initialize(ExperimentDictionary experimentDictionary)
{
// Set all properties
Name = experimentDictionary.ExperimentName;
DefaultPopulationSize = experimentDictionary.Primary_PopulationSize;
Description = experimentDictionary.ExperimentName;
// Set all internal class variables
_activationScheme = NetworkActivationScheme.CreateAcyclicScheme();
ComplexityRegulationStrategy = experimentDictionary.Primary_ComplexityRegulationStrategy;
Complexitythreshold = experimentDictionary.Primary_ComplexityThreshold;
ParallelOptions = new ParallelOptions();
SerializeGenomeToXml = experimentDictionary.SerializeGenomeToXml;
MaxEvaluations = (ulong) experimentDictionary.MaxEvaluations;
MaxRestarts = experimentDictionary.MaxRestarts;
// Set evolution/genome parameters
NeatEvolutionAlgorithmParameters = ExperimentUtils.ReadNeatEvolutionAlgorithmParameters(
experimentDictionary, true);
NeatGenomeParameters = ExperimentUtils.ReadNeatGenomeParameters(experimentDictionary, true);
NeatGenomeParameters.FeedforwardOnly = _activationScheme.AcyclicNetwork;
// Set experiment-specific parameters
MaxTimesteps = experimentDictionary.MaxTimesteps;
MinSuccessDistance = experimentDictionary.MinSuccessDistance;
MaxDistanceToTarget = experimentDictionary.MaxDistanceToTarget ?? default(int);
MazeVariant = MazeVariantUtil.convertStringToMazeVariant(experimentDictionary.ExperimentDomainName);
}
/// <summary>
/// Initialize the experiment with configuration file parameters.
/// </summary>
/// <param name="name">The name of the experiment</param>
/// <param name="xmlConfig">The parent XML configuration element</param>
public virtual void Initialize(string name, XmlElement xmlConfig)
{
// Set all properties
Name = name;
DefaultPopulationSize = XmlUtils.GetValueAsInt(xmlConfig, "PopulationSize");
Description = XmlUtils.GetValueAsString(xmlConfig, "Description");
// Set all internal class variables
_activationScheme = ExperimentUtils.CreateActivationScheme(xmlConfig, "Activation");
ComplexityRegulationStrategy = XmlUtils.TryGetValueAsString(xmlConfig, "ComplexityRegulationStrategy");
Complexitythreshold = XmlUtils.TryGetValueAsInt(xmlConfig, "ComplexityThreshold");
ParallelOptions = ExperimentUtils.ReadParallelOptions(xmlConfig);
// Set evolution/genome parameters
NeatEvolutionAlgorithmParameters = new NeatEvolutionAlgorithmParameters
{
SpecieCount = XmlUtils.GetValueAsInt(xmlConfig, "SpecieCount"),
InterspeciesMatingProportion = XmlUtils.GetValueAsDouble(xmlConfig,
"InterspeciesMatingProbability"),
MinTimeAlive = XmlUtils.GetValueAsInt(xmlConfig, "MinTimeAlive")
};
NeatGenomeParameters = ExperimentUtils.ReadNeatGenomeParameters(xmlConfig);
// Set experiment-specific parameters
MaxTimesteps = XmlUtils.TryGetValueAsInt(xmlConfig, "MaxTimesteps");
MinSuccessDistance = XmlUtils.TryGetValueAsInt(xmlConfig, "MinSuccessDistance");
MaxDistanceToTarget = XmlUtils.TryGetValueAsInt(xmlConfig, "MaxDistanceToTarget");
MazeVariant =
MazeVariantUtl.convertStringToMazeVariant(XmlUtils.TryGetValueAsString(xmlConfig, "MazeVariant"));
}
