GeneticSettings

public Type Crossover { get; set; }

value = geneticSettings.Crossover
geneticSettings.Crossover = value

ICrossover

public decimal CrossoverProbability { get; set; }

value = geneticSettings.CrossoverProbability
geneticSettings.CrossoverProbability = value

CrossoverProbability

public string Fitness { get; set; }

value = geneticSettings.Fitness
geneticSettings.Fitness = value

Fitnessfunktionsformel, zum Beispiel 'PnL'.

public int GenerationsMax { get; set; }

value = geneticSettings.GenerationsMax
geneticSettings.GenerationsMax = value

Maximale Anzahl von Generationen.

public int GenerationsStagnation { get; set; }

value = geneticSettings.GenerationsStagnation
geneticSettings.GenerationsStagnation = value

Der genetische Algorithmus wird beendet, wenn sich die Fitness des besten Chromosoms in den letzten angegebenen Generationen nicht verändert hat.

public Type Mutation { get; set; }

value = geneticSettings.Mutation
geneticSettings.Mutation = value

IMUTIERUNG

public decimal MutationProbability { get; set; }

value = geneticSettings.MutationProbability
geneticSettings.MutationProbability = value

MutationProbability

public int Population { get; set; }

value = geneticSettings.Population
geneticSettings.Population = value

Die anfängliche Größe der Bevölkerung.

public int PopulationMax { get; set; }

value = geneticSettings.PopulationMax
geneticSettings.PopulationMax = value

Die maximale Population.

public Type Reinsertion { get; set; }

value = geneticSettings.Reinsertion
geneticSettings.Reinsertion = value

IReinsertion

public Type Selection { get; set; }

value = geneticSettings.Selection
geneticSettings.Selection = value

IST