C# 클래스 SwarmOps.Optimizers.DECrossover

Variants of crossover operator for Differential Evolution (DE), originally due to Storner and Price (1).

References: (1) R. Storn and K. Price. Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11:341-359, 1997.

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공개 메소드들

메소드	설명
DoCrossover ( Variant crossover, double CR, int n, double w, double x, double &y, double g, double agents, RandomOps randomSet ) : void	Perform DE crossover.
Name ( Variant variant ) : string	Name of DE crossover variant.

메소드 상세

DoCrossover() 공개 정적인 메소드

Perform DE crossover.

public static DoCrossover ( Variant crossover, double CR, int n, double w, double x, double &y, double g, double agents, RandomOps randomSet ) : void
crossover	Variant	Crossover variant to be performed.
CR	double	Crossover probability.
n	int	Dimensionality for problem.
w	double	Differential weight (vector).
x	double	Current agent position.
y	double	Potentially new agent position.
g	double	Population's best known position.
agents	double	Entire population.
randomSet	RandomOps	Random-set used for drawing distinct agents.
리턴	void

Name() 공개 정적인 메소드

Name of DE crossover variant.

public static Name ( Variant variant ) : string
variant	Variant
리턴	string