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()
{
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 int GetProducerNbOfGenomesToMake(
int totalRequired,
int available,
IGenomeProducer producer)
{
var result = (int)(producer.ProductionPart * totalRequired);
if (result > available)
{
result = available;
}
if (result < producer.MinProduction)
{
result = producer.MinProduction;
}
return(result);
}
protected void ExecuteProducer(
IGenerationManager generationManager,
GenomeProductionSession totalSession,
IGenomeProducer producer)
{
var requiredNb = GetProducerNbOfGenomesToMake(
totalSession.requiredNb,
totalSession.requiredNb - totalSession.CurrentlyProduced.Count,
producer);
var thisSession = new GenomeProductionSession(requiredNb);
producer.Produce(
generationManager.GetGenomes().ToArray(),
thisSession,
totalSession
);
totalSession.Merge(thisSession);
}
public EcoSystemController(CanvasAnimatedControl control, MapSize mapSize, IEnumerable <Coordinates> obstacles)
{
this.control = control;
this.obstacles = obstacles;
this.mapSize = mapSize;
generator = new OpCodeGenerator();
bots = ImmutableList <BeetleBot> .Empty;
map = new CellType[mapSize.Width, mapSize.Height];
cellSize = new Size(control.Size.Width / mapSize.Width, control.Size.Height / mapSize.Height);
genomeProducer = new GenomeProducer(generator, GenomeLength, 1);
Epoch = 0;
Scene = new Scene(this);
control.PointerEntered += OnPointerEntered;
control.PointerExited += OnPointerExited;
control.PointerPressed += OnPointerPressed;
control.PointerReleased += OnPointerReleased;
control.PointerMoved += OnPointerMoved;
}
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();
}
public Salesman(Vector2[] locations)
{
Locations = locations;
var initialGenerationGenerator = new TSInitGenerationGenerator(Locations);
var selection = new RouletteWheelSelectionWithRepetion();
var crossover = new TSCrossover();
var breeding = new BreedingClassic(
crossoverPart,
0,
selection,
crossover,
InitMutations()
);
var reinsertion = new ReinsertionFromSelection(
reinsertionPart,
minProduction: 0,
selection: new EliteSelection());
var producers = new IGenomeProducer[]
{
reinsertion,
breeding
};
var genomeForge = new GenomeForge(producers);
var generationManager = new GenerationManagerKeepLast();
geneticManager = new GeneticManagerClassic(
generationManager,
initialGenerationGenerator,
genomeForge,
genomesCount
);
geneticManager.Init();
}
/// <summary>
///
/// </summary>
/// <param name="genomeProducer"></param>
/// <param name="positioningSystem"></param>
public BeetleBotFactory(ICreatePositionProvider positionProvider, IGenomeProducer genomeProducer)
{
this.positionProvider = positionProvider;
this.genomeProducer = genomeProducer;
}
