private GeneticAlgorithmFactory(INeuralNetworkFactory networkFactory, IEvalWorkingSetFactory workingSetFactory, IEvaluatableFactory evaluatableFactory, IBreederFactory breederFactory, IMutatorFactory mutatorFactory)
{
_networkFactory = networkFactory;
_workingSetFactory = workingSetFactory;
_evaluatableFactory = evaluatableFactory;
_breederFactory = breederFactory;
_mutatorFactory = mutatorFactory;
}
private GeneticAlgorithmFactory(INeuralNetworkFactory networkFactory, IEvalWorkingSetFactory workingSetFactory, IEvaluatableFactory evaluatableFactory, IBreederFactory breederFactory, IMutatorFactory mutatorFactory)
{
_networkFactory = networkFactory;
_workingSetFactory = workingSetFactory;
_evaluatableFactory = evaluatableFactory;
_breederFactory = breederFactory;
_mutatorFactory = mutatorFactory;
}
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 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));
}
private GeneticAlgorithm(NeuralNetworkConfigurationSettings networkConfig, GenerationConfigurationSettings generationConfig, EvolutionConfigurationSettings evolutionConfig, INeuralNetworkFactory networkFactory, IBreeder breeder, IMutator mutator, IEvalWorkingSet workingSet, IEvaluatableFactory evaluatableFactory, IEpochAction epochAction)
{
_networkConfig = networkConfig;
_generationConfig = generationConfig;
_evolutionConfig = evolutionConfig;
_epochAction = epochAction;
var sessions = new List <ITrainingSession>();
_networkFactory = networkFactory;
_breeder = breeder;
_mutator = mutator;
_history = workingSet;
_evaluatableFactory = evaluatableFactory;
for (int i = 0; i < _generationConfig.GenerationPopulation; i++)
{
var network = _networkFactory.Create(_networkConfig.NumInputNeurons, _networkConfig.NumOutputNeurons, _networkConfig.NumHiddenLayers, _networkConfig.NumHiddenNeurons);
sessions.Add(new TrainingSession(network, _evaluatableFactory.Create(network), i));
}
_generation = new Generation(sessions, _generationConfig);
}
public IGeneticAlgorithm Create(NeuralNetworkConfigurationSettings networkConfig, GenerationConfigurationSettings generationConfig, EvolutionConfigurationSettings evolutionConfig, INeuralNetworkFactory networkFactory, IBreeder breeder, IMutator mutator, IEvalWorkingSet workingSet, IEvaluatableFactory evaluatableFactory, IEpochAction epochAction)
{
return(GeneticAlgorithm.GetInstance(networkConfig, generationConfig, evolutionConfig, _networkFactory, breeder, mutator, workingSet, _evaluatableFactory, epochAction));
}
public static IGeneticAlgorithmFactory GetInstance(INeuralNetworkFactory networkFactory, IEvalWorkingSetFactory workingSetFactory, IEvaluatableFactory evaluatableFactory, IBreederFactory breederFactory, IMutatorFactory mutatorFactory)
{
return(new GeneticAlgorithmFactory(networkFactory, workingSetFactory, evaluatableFactory, breederFactory, mutatorFactory));
}
public IGeneticAlgorithm Create(NeuralNetworkConfigurationSettings networkConfig, GenerationConfigurationSettings generationConfig, EvolutionConfigurationSettings evolutionConfig, INeuralNetworkFactory networkFactory, IBreeder breeder, IMutator mutator, IEvalWorkingSet workingSet, IEvaluatableFactory evaluatableFactory, IEpochAction epochAction)
{
return GeneticAlgorithm.GetInstance(networkConfig, generationConfig, evolutionConfig, _networkFactory, breeder, mutator, workingSet, _evaluatableFactory, epochAction);
}
public static IGeneticAlgorithmFactory GetInstance(INeuralNetworkFactory networkFactory, IEvalWorkingSetFactory workingSetFactory, IEvaluatableFactory evaluatableFactory, IBreederFactory breederFactory, IMutatorFactory mutatorFactory)
{
return new GeneticAlgorithmFactory(networkFactory, workingSetFactory, evaluatableFactory, breederFactory, mutatorFactory);
}
