C# 클래스 SwarmOps.Optimizers.LUS

Local Unimodal Sampling (LUS) optimizer originally due to Pedersen (1). Does local sampling with an exponential decrease of the sampling-range. Works well for many optimization problems, especially when only short runs are allowed. Is particularly well suited as the overlaying meta-optimizer when tuning parameters for another optimizer.

References: (1) M.E.H. Pedersen. Tuning & Simplifying Heuristical Optimization. PhD Thesis, University of Southampton, 2010.

상속: Optimizer

파일 보기 프로젝트 열기: DanWBR/dwsim3

공개 메소드들

메소드	설명
GetGamma ( double parameters ) : double	Get parameter, Gamma.
LUS ( ) : System.Diagnostics	Construct the object.
LUS ( Problem problem ) : System.Diagnostics	Construct the object.
Optimize ( double parameters ) : Result	Perform one optimization run and return the best found solution.

메소드 상세

GetGamma() 공개 메소드

Get parameter, Gamma.

public GetGamma ( double parameters ) : double
parameters	double	Optimizer parameters.
리턴	double

LUS() 공개 메소드

Construct the object.

public LUS ( ) : System.Diagnostics
리턴	System.Diagnostics

LUS() 공개 메소드

Construct the object.

public LUS ( Problem problem ) : System.Diagnostics
problem	Problem	Problem to optimize.
리턴	System.Diagnostics

Optimize() 공개 메소드

Perform one optimization run and return the best found solution.

public Optimize ( double parameters ) : Result
parameters	double	Control parameters for the optimizer.
리턴	Result