C# Class SwarmOps.Optimizers.JDE

Differential Evolution (DE) optimizer originally due to Storner and Price (1). jDE variant due to Brest et al. (2). This variant claims to be 'self-adaptive' in that it claims to eliminate the need to choose two parameters of the original DE, but in reality it introduces an additional 6 parameters, so the jDE variant now has 9 parameters instead of just 3 of the original DE.

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. (2) J. Brest, S. Greiner, B. Boskovic, M. Mernik, and V. Zumer. Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark functions. IEEE Transactions on Evolutionary Computation, 10(6):646-657, 2006.

Inheritance: Optimizer

Afficher le fichier Open project: DanWBR/dwsim3

Méthodes publiques

Méthode	Description
GetCRInit ( double parameters ) : double	Get parameter, CRInit.
GetCRl ( double parameters ) : double	Get parameter, CRl.
GetCRu ( double parameters ) : double	Get parameter, CRu.
GetFInit ( double parameters ) : double	Get parameter, FInit.
GetFl ( double parameters ) : double	Get parameter, Fl.
GetFu ( double parameters ) : double	Get parameter, Fu.
GetNumAgents ( double parameters ) : int	Get parameter, Number of agents, aka. population size.
GetTauCR ( double parameters ) : double	Get parameter, TauCR.
GetTauF ( double parameters ) : double	Get parameter, TauF.
JDE ( DECrossover crossover ) : System.Diagnostics	Construct the object.
JDE ( Problem problem, DECrossover crossover ) : System.Diagnostics	Construct the object.
Optimize ( double parameters ) : Result	Perform one optimization run and return the best found solution.

Private Methods

Méthode	Description
SetVariant ( DECrossover crossover ) : void	Set the optimizer variant to be used.

Method Details

GetCRInit() public méthode

Get parameter, CRInit.

public GetCRInit ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetCRl() public méthode

Get parameter, CRl.

public GetCRl ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetCRu() public méthode

Get parameter, CRu.

public GetCRu ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetFInit() public méthode

Get parameter, FInit.

public GetFInit ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetFl() public méthode

Get parameter, Fl.

public GetFl ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetFu() public méthode

Get parameter, Fu.

public GetFu ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetNumAgents() public méthode

Get parameter, Number of agents, aka. population size.

public GetNumAgents ( double parameters ) : int
parameters	double	Optimizer parameters.
Résultat	int

GetTauCR() public méthode

Get parameter, TauCR.

public GetTauCR ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

GetTauF() public méthode

Get parameter, TauF.

public GetTauF ( double parameters ) : double
parameters	double	Optimizer parameters.
Résultat	double

JDE() public méthode

Construct the object.

public JDE ( DECrossover crossover ) : System.Diagnostics
crossover	DECrossover	Crossover variant.
Résultat	System.Diagnostics

JDE() public méthode

Construct the object.

public JDE ( Problem problem, DECrossover crossover ) : System.Diagnostics
problem	Problem	Problem to optimize.
crossover	DECrossover	Crossover variant.
Résultat	System.Diagnostics

Optimize() public méthode

Perform one optimization run and return the best found solution.

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