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

Fórmula de función de fitness. Por ejemplo, 'PnL@'.

public int GenerationsMax { get; set; }

value = geneticSettings.GenerationsMax
geneticSettings.GenerationsMax = value

Número máximo de generaciones.

public int GenerationsStagnation { get; set; }

value = geneticSettings.GenerationsStagnation
geneticSettings.GenerationsStagnation = value

El algoritmo genético se terminará cuando el mejor cromosoma de la aptitud no tenga cambio en las últimas generaciones especificadas.

public Type Mutation { get; set; }

value = geneticSettings.Mutation
geneticSettings.Mutation = value

IMutation

public decimal MutationProbability { get; set; }

value = geneticSettings.MutationProbability
geneticSettings.MutationProbability = value

MutationProbability

public int Population { get; set; }

value = geneticSettings.Population
geneticSettings.Population = value

El tamaño inicial de la población.

public int PopulationMax { get; set; }

value = geneticSettings.PopulationMax
geneticSettings.PopulationMax = value

La población máxima.

public Type Reinsertion { get; set; }

value = geneticSettings.Reinsertion
geneticSettings.Reinsertion = value

IReinsertion

public Type Selection { get; set; }

value = geneticSettings.Selection
geneticSettings.Selection = value

ISeleion