static void Main(string[] args)
{
var mutator1 = new MutatorFactory <Person>()
.AddMutation(p => p.FirstName, "Joe")
.AddMutation(p => p.LastName, "Blow")
.AddMutation(p => p.Email, "*****@*****.**")
.AddMutation(p => p.Address, "123 Main St")
.AddMutation(p => p.Birthday, new DateTime(1980, 1, 1))
.AddMutation(p => p.Age, 21)
.Build();
var person1 = mutator1.Apply(Person.Default);
Console.WriteLine(person1.ToString());
var mutator2 = new MutatorFactory <Person>()
.AddMutation(p => p.FirstName, "Martin")
.AddMutation(p => p.Birthday, p => p.Birthday?.AddDays(1), options => { options.If = p => p.Age > 25; })
.Build();
var person2 = mutator2.Apply(person1.Value);
Console.WriteLine(person2.ToString());
}
public static IGeneticAlgorithmFactory GetInstance(IEvaluatableFactory evaluatableFactory)
{
var networkFactory = NeuralNetworkFactory.GetInstance();
var workingSetFactory = EvalWorkingSetFactory.GetInstance();
var random = new Random();
var breederFactory = BreederFactory.GetInstance(networkFactory, new RandomWeightInitializer(random));
var mutatorFactory = MutatorFactory.GetInstance(networkFactory, new RandomWeightInitializer(random));
return(new GeneticAlgorithmFactory(networkFactory, workingSetFactory, evaluatableFactory, breederFactory, mutatorFactory));
}
public void GetMutator_NotRegistered_Throws()
{
// arrange
var factory = new MutatorFactory();
// act
// assert
Assert.Throws <ArgumentOutOfRangeException>(() => factory.GetMutator("foo", new JObject()));
}
static void Main(string[] args)
{
NeuralNetworkConfigurationSettings networkConfig = new NeuralNetworkConfigurationSettings
{
NumInputNeurons = 1,
NumOutputNeurons = 1,
NumHiddenLayers = 2,
NumHiddenNeurons = 3,
SummationFunction = new SimpleSummation(),
ActivationFunction = new TanhActivationFunction()
};
GenerationConfigurationSettings generationSettings = new GenerationConfigurationSettings
{
UseMultithreading = true,
GenerationPopulation = 500
};
EvolutionConfigurationSettings evolutionSettings = new EvolutionConfigurationSettings
{
NormalMutationRate = 0.05,
HighMutationRate = 0.5,
GenerationsPerEpoch = 10,
NumEpochs = 1000,
NumTopEvalsToReport = 10
};
MutationConfigurationSettings mutationSettings = new MutationConfigurationSettings
{
MutateAxonActivationFunction = true,
MutateNumberOfHiddenLayers = true,
MutateNumberOfHiddenNeuronsInLayer = true,
MutateSomaBiasFunction = true,
MutateSomaSummationFunction = true,
MutateSynapseWeights = true
};
var random = new RandomWeightInitializer(new Random());
INeuralNetworkFactory factory = NeuralNetworkFactory.GetInstance(SomaFactory.GetInstance(networkConfig.SummationFunction), AxonFactory.GetInstance(networkConfig.ActivationFunction), SynapseFactory.GetInstance(new RandomWeightInitializer(new Random()), AxonFactory.GetInstance(networkConfig.ActivationFunction)), SynapseFactory.GetInstance(new ConstantWeightInitializer(1.0), AxonFactory.GetInstance(new IdentityActivationFunction())), random);
IBreeder breeder = BreederFactory.GetInstance(factory, random).Create();
IMutator mutator = MutatorFactory.GetInstance(factory, random).Create(mutationSettings);
IEvalWorkingSet history = EvalWorkingSetFactory.GetInstance().Create(50);
IEvaluatableFactory evaluatableFactory = new GameEvaluationFactory();
IStorageProxy proxy = new NodeJSProxy(1, "http://localhost:3000", "123456789");
IEpochAction action = new BestPerformerUpdater(proxy);
var GAFactory = GeneticAlgorithmFactory.GetInstance(evaluatableFactory);
IGeneticAlgorithm evolver = GAFactory.Create(networkConfig, generationSettings, evolutionSettings, factory, breeder, mutator, history, evaluatableFactory, action);
evolver.RunSimulation();
}
public void RegisterT_RegistersMutator()
{
// arrange
var factory = new MutatorFactory();
var mutatorInfo = new { Prop1 = "foo" };
var asJson = JsonConvert.SerializeObject(mutatorInfo);
var jObj = JsonConvert.DeserializeObject <JObject>(asJson);
// act
factory.Register <TestMutator>("test");
// assert
var mutator = factory.GetMutator("test", jObj);
Assert.Equal("xx-foo", mutator("xx"));
}
public void GetMutator_Flyweight_ReusesMutator()
{
// arrange
var factory = new MutatorFactory();
factory.Register <TestMutator>("test");
var mutatorInfo = new { Prop1 = "foo" };
var asJson = JsonConvert.SerializeObject(mutatorInfo);
var jObj = JsonConvert.DeserializeObject <JObject>(asJson);
// act
var mutator = factory.GetMutator("test", jObj);
var mutator2 = factory.GetMutator("test", jObj);
// assert
Assert.Equal(mutator2, mutator);
}
private Mutator getMutator(MainSettings settings)
{
MutatorSettings mutatorSettings = new MutatorSettings(settings.instructionMutationProbability, settings.newInstructionProbability, settings.skipInstructionProbability);
return(MutatorFactory.getDefaultMutator(mutatorSettings));
}
