/// <summary>
/// Configures and instantiates the initialization evolutionary algorithm.
/// </summary>
/// <param name="parallelOptions">Synchronous/Asynchronous execution settings.</param>
/// <param name="genomeList">The initial population of genomes.</param>
/// <param name="genomeFactory">The genome factory initialized by the main evolution thread.</param>
/// <param name="mazeEnvironment">The maze on which to evaluate the navigators.</param>
/// <param name="genomeDecoder">The decoder to translate genomes into phenotypes.</param>
/// <param name="startingEvaluations">
/// The number of evaluations that preceeded this from which this process will pick up
/// (this is used in the case where we're restarting a run because it failed to find a solution in the allotted time).
/// </param>
public override void InitializeAlgorithm(ParallelOptions parallelOptions, List <NeatGenome> genomeList,
IGenomeFactory <NeatGenome> genomeFactory,
MazeStructure mazeEnvironment, IGenomeDecoder <NeatGenome, IBlackBox> genomeDecoder,
ulong startingEvaluations)
{
// Set the boiler plate algorithm parameters
base.InitializeAlgorithm(parallelOptions, genomeList, genomeDecoder, startingEvaluations);
// Create the initialization evolution algorithm.
InitializationEa = new GenerationalComplexifyingEvolutionAlgorithm <NeatGenome>(SpeciationStrategy,
ComplexityRegulationStrategy, RunPhase.Initialization);
// Create IBlackBox evaluator.
MazeNavigatorFitnessInitializationEvaluator mazeNavigatorEvaluator =
new MazeNavigatorFitnessInitializationEvaluator(MinSuccessDistance, MaxDistanceToTarget, mazeEnvironment,
startingEvaluations);
// Create the genome evaluator
IGenomeEvaluator <NeatGenome> fitnessEvaluator = new ParallelGenomeFitnessEvaluator <NeatGenome, IBlackBox>(
genomeDecoder, mazeNavigatorEvaluator, parallelOptions);
// Only pull the number of genomes from the list equivalent to the initialization algorithm population size
// (this is to handle the case where the list was created in accordance with the primary algorithm
// population size, which is quite likely larger)
genomeList = genomeList.Take(PopulationSize).ToList();
// Replace genome factory primary NEAT parameters with initialization parameters
((NeatGenomeFactory)genomeFactory).ResetNeatGenomeParameters(NeatGenomeParameters);
// Initialize the evolution algorithm
InitializationEa.Initialize(fitnessEvaluator, genomeFactory, genomeList, null, null);
}
/// <summary>
/// Configures and instantiates the initialization evolutionary algorithm.
/// </summary>
/// <param name="parallelOptions">Synchronous/Asynchronous execution settings.</param>
/// <param name="genomeList">The initial population of genomes.</param>
/// <param name="genomeFactory">The genome factory initialized by the main evolution thread.</param>
/// <param name="mazeEnvironment">The maze on which to evaluate the navigators.</param>
/// <param name="genomeDecoder">The decoder to translate genomes into phenotypes.</param>
/// <param name="startingEvaluations">
/// The number of evaluations that preceeded this from which this process will pick up
/// (this is used in the case where we're restarting a run because it failed to find a solution in the allotted time).
/// </param>
public override void InitializeAlgorithm(ParallelOptions parallelOptions, List<NeatGenome> genomeList,
IGenomeFactory<NeatGenome> genomeFactory,
MazeStructure mazeEnvironment, IGenomeDecoder<NeatGenome, IBlackBox> genomeDecoder,
ulong startingEvaluations)
{
// Set the boiler plate algorithm parameters
base.InitializeAlgorithm(parallelOptions, genomeList, genomeDecoder, startingEvaluations);
// Create the initialization evolution algorithm.
InitializationEa = new GenerationalNeatEvolutionAlgorithm<NeatGenome>(SpeciationStrategy,
ComplexityRegulationStrategy, RunPhase.Initialization);
// Create IBlackBox evaluator.
MazeNavigatorFitnessInitializationEvaluator mazeNavigatorEvaluator =
new MazeNavigatorFitnessInitializationEvaluator(MaxTimesteps, MinSuccessDistance, MaxDistanceToTarget,
mazeEnvironment, startingEvaluations);
// Create the genome evaluator
IGenomeEvaluator<NeatGenome> fitnessEvaluator = new ParallelGenomeFitnessEvaluator<NeatGenome, IBlackBox>(
genomeDecoder, mazeNavigatorEvaluator, parallelOptions);
// Only pull the number of genomes from the list equivalent to the initialization algorithm population size
// (this is to handle the case where the list was created in accordance with the primary algorithm
// population size, which is quite likely larger)
genomeList = genomeList.Take(PopulationSize).ToList();
// Replace genome factory primary NEAT parameters with initialization parameters
((NeatGenomeFactory) genomeFactory).ResetNeatGenomeParameters(NeatGenomeParameters);
// Initialize the evolution algorithm
InitializationEa.Initialize(fitnessEvaluator, genomeFactory, genomeList, null, null);
}
