public void AddNodeMutation_Mutate_AddsNodeAndConnection()
{
//ARRANGE
var genome = CreateGenome(1, 1);
genome.Connections.Add(1,
new Connection {
Id = 1, InNodeId = 1, OutNodeId = 2, IsEnabled = true, Weight = 2.0
});
_nodeInnovationGenerator.GetNextInnovation().Returns(3);
_connectionInnovationGenerator.GetNextInnovation().Returns(2, 3);
_randomizer.Next(1).Returns(call => call.Arg <int>() - 1);
var mutator = new AddNodeMutation(_nodeInnovationGenerator, _connectionInnovationGenerator, _randomizer);
//ACT
var result = mutator.Mutate(ref genome);
//ASSERT
Assert.IsTrue(result);
Assert.AreEqual(3, genome.Connections.Count);
Assert.AreEqual(3, genome.Nodes.Count);
Assert.AreEqual(NodeType.Hidden, genome.Nodes[3].NodeType);
AssertConnection(genome, 1, false, 1, 2, 2.0);
AssertConnection(genome, 2, true, 1, 3, 1.0);
AssertConnection(genome, 3, true, 3, 2, 2.0);
}
public void MyTestMethod()
{
var random = new RandomImplementation(23);
INeatConfiguration configuration = new DefaultNeatConfiguration(500);
var nodeInovator = new InnovationGenerator(1);
var ConnectionInovator = new InnovationGenerator(1);
var genomeProvider = new GenomeProvider(nodeInovator, ConnectionInovator, random);
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 WeightOfAHundred(configuration, genomeProvider, nodeInovator, ConnectionInovator, addConnectionMutation, addNodeMutation, weightMutation, crossFunction, random);
for (int i = 0; i < 1000; i++)
{
evaluator.EvaluateGeneration();
Console.WriteLine($"Best Fitness: {evaluator.FittestGenome.Fitness}");
}
Assert.That(evaluator.FittestGenome.Fitness > 90);
}
public void AddNodeMutation_Mutate_DidNotAddNodesSinceNoConnections()
{
//ARRANGE
var genome = CreateGenome(1, 1);
var mutator = new AddNodeMutation(_nodeInnovationGenerator, _connectionInnovationGenerator, _randomizer);
//ACT
var result = mutator.Mutate(ref genome);
//ASSERT
Assert.IsFalse(result);
Assert.AreEqual(0, genome.Connections.Count);
Assert.AreEqual(2, genome.Nodes.Count);
}
public void test()
{
var random = new RandomImplementation(23);
INeatConfiguration configuration = new DefaultNeatConfiguration(500);
var nodeInovator = new InnovationGenerator(1);
var connectionInovator = new InnovationGenerator(1);
var problemDomain = new ProblemDomain(
inputs:
new double[, ]
{
{ 0, 0, 1 },
{ 0, 1, 1 },
{ 1, 0, 1 },
{ 1, 1, 1 }
},
outputs:
new double[, ]
{
{ 0 },
{ 1 },
{ 1 },
{ 0 }
});
var genome = CreateOriginalGenome(nodeInovator, connectionInovator, problemDomain);
var genomeProvider = new XORNNProvider(nodeInovator, connectionInovator, random, genome);
var crossFunction = new NeatCrossFunction(random, configuration);
var weightMutation = new ApplyWeightMutation(random, configuration);
var addNodeMutation = new AddNodeMutation(nodeInovator, connectionInovator, random);
var addConnectionMutation = new AddConnectionMutation(connectionInovator, random, configuration);
var evaluator = new XORNNEvaluator(configuration, genomeProvider, nodeInovator, connectionInovator, addConnectionMutation, addNodeMutation, weightMutation, crossFunction, random, problemDomain);
for (int i = 0; i < 1000; i++)
{
evaluator.EvaluateGeneration();
Console.WriteLine($"Best Fitness: {evaluator.FittestGenome.Fitness}");
}
Assert.That(evaluator.FittestGenome.Fitness > 90);
}
public void AddNodeMutation_Mutate_DidNotAddNodesSinceNoEnabledConnections()
{
//ARRANGE
var genome = CreateGenome(1, 1);
genome.Connections.Add(1,
new Connection {
Id = 1, InNodeId = 1, OutNodeId = 2, IsEnabled = false, Weight = 1.0
});
var mutator = new AddNodeMutation(_nodeInnovationGenerator, _connectionInnovationGenerator, _randomizer);
//ACT
var result = mutator.Mutate(ref genome);
//ASSERT
Assert.IsFalse(result);
Assert.AreEqual(1, genome.Connections.Count);
Assert.AreEqual(2, genome.Nodes.Count);
}
