public Evaluator(INeatConfiguration neatConfiguration, IGenesisGenomeProvider genomeProvider, IInnovationPointGenerator nodeInnovationGenerator, IInnovationPointGenerator connectionInnovationGenerator, IMutation addConnectionMutation, IMutation addNodeMutation, IMutation weightMutation, ICrossFunctionStrategy crossFunctionStrategy, IRandom random)
{
_neatConfiguration = neatConfiguration;
_nodeInnovationGenerator = nodeInnovationGenerator;
_connectionInnovationGenerator = connectionInnovationGenerator;
_addConnectionMutation = addConnectionMutation;
_addNodeMutation = addNodeMutation;
_weightMutation = weightMutation;
_crossFunctionStrategy = crossFunctionStrategy;
_random = random;
_genomes = Enumerable.Repeat(genomeProvider.GenerateGenesisGenome(), neatConfiguration.PopulationSize).ToList();
_evaluatedGenomes = new List <FitnessGenome>();
_nextGeneration = new List <Genome>();
_lastGenerationResults = new List <FitnessGenome>();
}
public NeatCrossFunction(IRandom random, INeatConfiguration configuration)
{
_random = random;
_disabledGeneInheritingChance = configuration.DisabledGeneInheritingChance;
}
public AddConnectionMutation(IInnovationPointGenerator connectionInnovator, IRandom random, INeatConfiguration configuration) :
this(connectionInnovator, random, configuration.PerturbingRate, configuration.MaxAttemptsAtFindingConnections)
{
}
public ApplyWeightMutation(IRandom random, INeatConfiguration configuration)
{
_random = random;
_probabilityPerturbing = configuration.PerturbingRate;
}
public WeightOfAHundred(INeatConfiguration neatConfiguration, IGenesisGenomeProvider genomeProvider, IInnovationPointGenerator nodeInnovationGenerator, IInnovationPointGenerator connectionInnovationGenerator, IMutation addConnectionMutation, IMutation addNodeMutation, IMutation weightMutation, ICrossFunctionStrategy crossFunctionStrategy, IRandom random) : base(neatConfiguration, genomeProvider, nodeInnovationGenerator, connectionInnovationGenerator, addConnectionMutation, addNodeMutation, weightMutation, crossFunctionStrategy, random)
{
}
public XORNNEvaluator(INeatConfiguration neatConfiguration, IGenesisGenomeProvider genomeProvider, IInnovationPointGenerator nodeInnovationGenerator, IInnovationPointGenerator connectionInnovationGenerator, IMutation addConnectionMutation, IMutation addNodeMutation, IMutation weightMutation, ICrossFunctionStrategy crossFunctionStrategy, IRandom random, ProblemDomain problemDomain) : base(neatConfiguration, genomeProvider, nodeInnovationGenerator, connectionInnovationGenerator, addConnectionMutation, addNodeMutation, weightMutation, crossFunctionStrategy, random)
{
_problemDomain = problemDomain;
}
