C# Class GA.Ga

Genetic Algorithm class

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Méthodes publiques

Méthode	Description
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

Private Methods

Méthode	Description
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

Method Details

Ga() public méthode

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

public Ga ( ) : System
Résultat	System

Ga() public méthode

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

Ga() public méthode

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

Go() public méthode

Method which starts the GA executing.

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

InitialValues() public méthode

public InitialValues ( ) : void
Résultat	void