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 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);
 }