C# Class SwarmOps.Optimizers.Parallel.DE

Parallel version of DE which computes the fitness of its agents in parallel. Assumes the fitness function is thread-safe. Should only be used with very time-consuming optimization problems otherwise basic DE will execute faster because of less overhead.

Inheritance: Optimizer

显示文件 Open project: DanWBR/dwsim3

Public Methods

Method	Description
DE ( ) : System.Diagnostics	Construct the object.
DE ( Problem problem ) : System.Diagnostics	Construct the object.
DE ( int numAgentsMultiple ) : System.Diagnostics	Construct the object.
DE ( int numAgentsMultiple, Problem problem ) : System.Diagnostics	Construct the object.
GetCR ( double parameters ) : double	Get parameter, CR, aka. crossover probability.
GetF ( double parameters ) : double	Get parameter, F, aka. differential weight.
GetNumAgents ( double parameters ) : int	Get parameter, Number of agents, aka. population size.
Optimize ( double parameters ) : Result	Perform one optimization run and return the best found solution.

Method Details

DE() public method

Construct the object.

public DE ( ) : System.Diagnostics
return	System.Diagnostics

DE() public method

Construct the object.

public DE ( Problem problem ) : System.Diagnostics
problem	Problem	Problem to optimize.
return	System.Diagnostics

DE() public method

Construct the object.

public DE ( int numAgentsMultiple ) : System.Diagnostics
numAgentsMultiple	int	Population size multiple, e.g. 4 ensures populations are sized 4, 8, 12, 16, ...
return	System.Diagnostics

DE() public method

Construct the object.

public DE ( int numAgentsMultiple, Problem problem ) : System.Diagnostics
numAgentsMultiple	int	Population size multiple, e.g. 4 ensures populations are sized 4, 8, 12, 16, etc.
problem	Problem	Problem to optimize.
return	System.Diagnostics

GetCR() public method

Get parameter, CR, aka. crossover probability.

public GetCR ( double parameters ) : double
parameters	double	Optimizer parameters.
return	double

GetF() public method

Get parameter, F, aka. differential weight.

public GetF ( double parameters ) : double
parameters	double	Optimizer parameters.
return	double

GetNumAgents() public method

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

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

Optimize() public method

Perform one optimization run and return the best found solution.

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