C# 클래스 SwarmOps.Problems.Mangler

Search-space mangler, used to increase the difficulty of optimizing benchmark problems and avoid correlation with global optima such as zero. Note that this works with parallel optimizers but not with parallel meta-optimization because of the way MetaFitness is implemented.

상속: ProblemWrapper

파일 보기 프로젝트 열기: DanWBR/dwsim3

공개 메소드들

메소드	설명
BeginOptimizationRun ( ) : void	At beginning of new optimization run create a random mangling.
Fitness ( double parameters, double fitnessLimit, bool oldFeasible, bool newFeasible ) : double	Compute fitness of wrapped problem and print the result.
Gradient ( double x, double &v ) : int	Compute the gradient of the fitness-function. This is not defined for mangled search-spaces.
Mangler ( Problem problem, double diffusion, double displacement, double spillover, double fitnessNoise ) : System	Constructs a new object.

메소드 상세

BeginOptimizationRun() 공개 메소드

At beginning of new optimization run create a random mangling.

public BeginOptimizationRun ( ) : void
리턴	void

Fitness() 공개 메소드

Compute fitness of wrapped problem and print the result.

public Fitness ( double parameters, double fitnessLimit, bool oldFeasible, bool newFeasible ) : double
parameters	double
fitnessLimit	double
oldFeasible	bool
newFeasible	bool
리턴	double

Gradient() 공개 메소드

Compute the gradient of the fitness-function. This is not defined for mangled search-spaces.

public Gradient ( double x, double &v ) : int
x	double	Candidate solution.
v	double	Array for holding the gradient.
리턴	int

Mangler() 공개 메소드

Constructs a new object.

public Mangler ( Problem problem, double diffusion, double displacement, double spillover, double fitnessNoise ) : System
problem	Problem	The problem being wrapped.
diffusion	double	Diffusion factor, larger than 0, e.g. 0.01
displacement	double	Displacement factor, larger than 0, e.g. 0.1
spillover	double	Spillover factor, larger than 0, e.g. 0.05
fitnessNoise	double	FitnessNoise factor, lager than 0, e.g. 0.01
리턴	System