public AddConnectionMutation(IInnovationPointGenerator connectionInnovationGenerator, IRandom random, double probabilityPerturbing, int maxAttempts)
{
_connectionInnovationGenerator = connectionInnovationGenerator;
_random = random;
_probabilityPerturbing = probabilityPerturbing;
_maxAttempts = maxAttempts;
}
public Connection Copy(IInnovationPointGenerator innovationGenerator)
{
var copy = Copy();
copy.Id = innovationGenerator.GetNextInnovation();
return(copy);
}
public XORNNProvider(IInnovationPointGenerator nodeGenerator, IInnovationPointGenerator connectionGenerator, IRandom random, Genome grandFather)
{
_nodeGenerator = nodeGenerator;
_connectionGenerator = connectionGenerator;
_random = random;
_grandFather = grandFather;
}
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>();
}
private Genome GenerateTemplateGenome(IInnovationPointGenerator nodeGenerator, IInnovationPointGenerator connectionGenerator)
{
var genome = new Genome();
genome.Nodes =
Enumerable
.Repeat(1, 3)
.Select(n => new Node
{
Id = nodeGenerator.GetNextInnovation(),
NodeType = NodeType.Sensor
})
.ToDictionary(n => n.Id, n => n);
var outputId = nodeGenerator.GetNextInnovation();
genome.Nodes.Add(outputId, new Node {
Id = outputId, NodeType = NodeType.Output
});
var c1 = new Connection
{
Id = connectionGenerator.GetNextInnovation(),
InNodeId = genome.Nodes.First(n => n.Value.NodeType == NodeType.Sensor).Key,
OutNodeId = genome.Nodes.First(n => n.Value.NodeType == NodeType.Output).Key,
IsEnabled = true,
Weight = 0.5
};
var c2 = new Connection
{
Id = connectionGenerator.GetNextInnovation(),
InNodeId = genome.Nodes.Last(n => n.Value.NodeType == NodeType.Sensor).Key,
OutNodeId = genome.Nodes.First(n => n.Value.NodeType == NodeType.Output).Key,
IsEnabled = true,
Weight = 0.5
};
genome.Connections = new Dictionary <int, Connection>();
genome.Connections.Add(c1.Id, c1);
genome.Connections.Add(c2.Id, c2);
return(genome);
}
public void Init()
{
_nodeInnovationGenerator = Substitute.For <IInnovationPointGenerator>();
_connectionInnovationGenerator = Substitute.For <IInnovationPointGenerator>();
_randomizer = Substitute.For <IRandom>();
}
public AddConnectionMutation(IInnovationPointGenerator connectionInnovator, IRandom random, INeatConfiguration configuration) :
this(connectionInnovator, random, configuration.PerturbingRate, configuration.MaxAttemptsAtFindingConnections)
{
}
public GenomeProvider(IInnovationPointGenerator nodeGenerator, IInnovationPointGenerator connectionGenerator, IRandom random, Genome grandFather)
{
_GenomeGrandfather = grandFather;
_random = random;
}
public GenomeProvider(IInnovationPointGenerator nodeGenerator, IInnovationPointGenerator connectionGenerator, IRandom random)
{
_GenomeGrandfather = GenerateTemplateGenome(nodeGenerator, connectionGenerator);
_random = random;
}
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;
}
public AddNodeMutation(IInnovationPointGenerator nodeInnovationGenerator, IInnovationPointGenerator connectionInnovationGenerator, IRandom random)
{
this.nodeInnovationGenerator = nodeInnovationGenerator;
this.connectionInnovationGenerator = connectionInnovationGenerator;
this.random = random;
}
public void Init()
{
_config = new DefaultNeatConfiguration(23);
_innovationPointGenerator = Substitute.For <IInnovationPointGenerator>();
_random = Substitute.For <IRandom>();
}
