C# Класс GA.Ga

Genetic Algorithm class

Показать файл Открыть проект Примеры использования класса

Открытые методы

Метод	Описание
Ga ( ) : System	Default constructor sets mutation rate to 5%, crossover to 80%, population to 100, and generations to 2000.
Ga ( double crossoverRate, double mutationRate, int populationSize, int generationSize, int genomeSize ) : System
Ga ( int genomeSize ) : System
Go ( double maxGeneVal, double minGeneVal ) : void	Method which starts the GA executing.
InitialValues ( ) : void

Приватные методы

Метод	Описание
Initiation ( ) : void
RouletteSelection ( ) : int	After ranking all the genomes by fitness, use a 'roulette wheel' selection method. This allocates a large probability of selection to those with the highest fitness.
Selection ( ) : void

Описание методов

Ga() публичный Метод

Default constructor sets mutation rate to 5%, crossover to 80%, population to 100, and generations to 2000.

public Ga ( ) : System
Результат	System

Ga() публичный Метод

public Ga ( double crossoverRate, double mutationRate, int populationSize, int generationSize, int genomeSize ) : System
crossoverRate	double
mutationRate	double
populationSize	int
generationSize	int
genomeSize	int
Результат	System

Ga() публичный Метод

public Ga ( int genomeSize ) : System
genomeSize	int
Результат	System

Go() публичный Метод

Method which starts the GA executing.

public Go ( double maxGeneVal, double minGeneVal ) : void
maxGeneVal	double
minGeneVal	double
Результат	void

InitialValues() публичный Метод

public InitialValues ( ) : void
Результат	void