public void test()
{
var random = new RandomImplementation(23);
INeatConfiguration configuration = new DefaultNeatConfiguration(500);
var nodeInovator = new InnovationGenerator(1);
var connectionInovator = new InnovationGenerator(1);
var problemDomain = new ProblemDomain(
inputs:
new double[, ]
{
{ 0, 0, 1 },
{ 0, 1, 1 },
{ 1, 0, 1 },
{ 1, 1, 1 }
},
outputs:
new double[, ]
{
{ 0 },
{ 1 },
{ 1 },
{ 0 }
});
var genome = CreateOriginalGenome(nodeInovator, connectionInovator, problemDomain);
var genomeProvider = new XORNNProvider(nodeInovator, connectionInovator, random, genome);
var crossFunction = new NeatCrossFunction(random, configuration);
var weightMutation = new ApplyWeightMutation(random, configuration);
var addNodeMutation = new AddNodeMutation(nodeInovator, connectionInovator, random);
var addConnectionMutation = new AddConnectionMutation(connectionInovator, random, configuration);
var evaluator = new XORNNEvaluator(configuration, genomeProvider, nodeInovator, connectionInovator, addConnectionMutation, addNodeMutation, weightMutation, crossFunction, random, problemDomain);
for (int i = 0; i < 1000; i++)
{
evaluator.EvaluateGeneration();
Console.WriteLine($"Best Fitness: {evaluator.FittestGenome.Fitness}");
}
Assert.That(evaluator.FittestGenome.Fitness > 90);
}
private static Genome CreateOriginalGenome(InnovationGenerator nodeInovator, InnovationGenerator connectionInovator, ProblemDomain problemDomain)
{
var grandGenome = new Genome();
grandGenome.Nodes = new Dictionary <int, Node>();
for (int i = 0; i < problemDomain.Inputs.GetLength(1); i++)
{
var node = new Node {
Id = nodeInovator.GetNextInnovation(), NodeType = SoNEAT.Models.NodeType.Sensor
};
grandGenome.Nodes.Add(node.Id, node);
}
for (int i = 0; i < problemDomain.Outputs.GetLength(1); i++)
{
var node = new Node {
Id = nodeInovator.GetNextInnovation(), NodeType = SoNEAT.Models.NodeType.Output
};
grandGenome.Nodes.Add(node.Id, node);
}
grandGenome.Connections = new Dictionary <int, SoNEAT.Models.Connection>();
foreach (var inNode in grandGenome.Nodes.Values.Where(n => n.NodeType == SoNEAT.Models.NodeType.Sensor))
{
foreach (var outNode in grandGenome.Nodes.Values.Where(n => n.NodeType == SoNEAT.Models.NodeType.Output))
{
var connection = new Connection()
{
Id = connectionInovator.GetNextInnovation(),
InNodeId = inNode.Id,
OutNodeId = outNode.Id,
IsEnabled = true,
Weight = 1.0
};
grandGenome.Connections.Add(connection.Id, connection);
}
}
return(grandGenome);
}
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;
}
