public Program()
{
var synapseTracker = new SynapseInnovNbTracker();
var initialGenerationGenerator = new NeuralInitialGenerationCreatorBase(
InitModel(),
new RecursiveNetworkOpBaker());
//var selection = new EliteSelection();
var selection = new RouletteWheelSelectionWithRepetion();
var crossover = new OnePointCrossover(true);
var breeding = new BreedingClassic(
crossoverPart,
1,
selection,
crossover,
InitMutations()
);
var reinsertion = new ReinsertionFromSelection(
reinsertionPart, 0, new EliteSelection());
var producers = new IGenomeProducer[] { breeding, reinsertion };
var genomeForge = new GenomeForge(producers);
var generationManager = new GenerationManagerKeepLast();
geneticManager = new GeneticManagerClassic(
generationManager,
initialGenerationGenerator,
genomeForge,
genomesCount
);
geneticManager.Init();
}
private void InitGenetics()
{
var initialGenerationGenerator = new NeuralInitialGenerationCreatorBase(
//Init4InputsNeuralModel(),
Init2InputsNeuralModel(),
new FeedForwardOpBaker());
//var selection = new EliteSelection();
//var selection = new RouletteWheelSelection();
var selection = new RouletteWheelSelectionWithRepetion();
var crossover = new OnePointCrossover(true);
var breeding = new BreedingClassic(
crossoverPart,
1,
selection,
crossover,
InitMutations()
);
var reinsertion = new ReinsertionFromSelection(reinsertionPart, 0, new EliteSelection());
var producers = new IGenomeProducer[] { breeding, reinsertion };
var genomeForge = new GenomeForge(producers);
var generationManager = new GenerationManagerKeepLast();
geneticManager = new GeneticManagerClassic(
generationManager,
initialGenerationGenerator,
genomeForge,
genomesCount
);
geneticManager.Init();
}
protected void InitGeneticManager()
{
var initialGenerationGenerator = new NeuralInitialGenerationCreatorBase(
InitNeuralModel(),
new RecursiveNetworkOpBaker());
var selection = new RouletteWheelSelectionWithRepetion();
var crossover = new OnePointCrossover(true);
var breeding = new BreedingClassic(
crossoverPart,
minProduction: 1,
selection: selection,
crossover: crossover,
mutationManager: InitMutations()
);
var reinsertion = new ReinsertionFromSelection(
reinsertionPart,
minProduction: 0,
selection: new EliteSelection());
var producers = new IGenomeProducer[] { breeding, reinsertion };
var genomeForge = new GenomeForge(producers);
var generationManager = new GenerationManagerKeepLast();
geneticManager = new GeneticManagerClassic(
generationManager,
initialGenerationGenerator,
genomeForge,
genomesCount
);
geneticManager.Init();
}
public Program()
{
datasets = GenerateDatasets(25, () => GARandomManager.Random.Next(1, 20)).ToArray();
//datasets = GenerateDatasets(50, 10).ToArray();
var synapseTracker = new SynapseInnovNbTracker();
var initialGenerationGenerator = new NeuralInitialGenerationCreatorBase(
InitModel(),
new FeedForwardOpBaker());
//var selection = new EliteSelection();
var selection = new RouletteWheelSelectionWithRepetion();
var crossover = new OnePointCrossover(true);
var breeding = new BreedingClassic(
crossoverPart,
1,
selection,
crossover,
InitMutations()
);
var reinsertion = new ReinsertionFromSelection(
reinsertionPart, 0, new EliteSelection());
var producers = new IGenomeProducer[] { breeding, reinsertion };
var genomeForge = new GenomeForge(producers);
var generationManager = new GenerationManagerKeepLast();
geneticManager = new GeneticManagerClassic(
generationManager,
initialGenerationGenerator,
genomeForge,
genomesCount
);
geneticManager.Init();
}
