C# 클래스 SwarmOps.Optimizers.Parallel.MetaFitness

Parallel version of MetaFitness where parallelization is made on the optimization runs.

상속: SwarmOps.Optimizers.MetaFitness

공개 메소드들

메소드	설명
Fitness ( double parameters, double fitnessLimit ) : double	Compute the meta-fitness measure by passing the given parameters to the Optimizer, and perform optimization runs on the array of problems until the fitness compute exceeds the fitnessLimit.
MetaFitness ( Optimizer optimizer, Problem problems, int numRuns, int maxIterations ) : System.Diagnostics	Construct the object, un-weighted problems.
MetaFitness ( Optimizer optimizer, WeightedProblem weightedProblems, int numRuns, int maxIterations ) : System.Diagnostics	Construct the object, weighted problems.

메소드 상세

Fitness() 공개 메소드

Compute the meta-fitness measure by passing the given parameters to the Optimizer, and perform optimization runs on the array of problems until the fitness compute exceeds the fitnessLimit.

public Fitness ( double parameters, double fitnessLimit ) : double
parameters	double	Parameters to use for the Optimizer.
fitnessLimit	double	Preemptive Fitness Limit
리턴	double

MetaFitness() 공개 메소드

Construct the object, un-weighted problems.

public MetaFitness ( Optimizer optimizer, Problem problems, int numRuns, int maxIterations ) : System.Diagnostics
optimizer	Optimizer	Optimize to be used.
problems	Problem	Array of problems to be optimized.
numRuns	int	Number of optimization runs per problem.
maxIterations	int	Max number of optimization iterations.
리턴	System.Diagnostics

MetaFitness() 공개 메소드

Construct the object, weighted problems.

public MetaFitness ( Optimizer optimizer, WeightedProblem weightedProblems, int numRuns, int maxIterations ) : System.Diagnostics
optimizer	Optimizer	Optimize to be used.
weightedProblems	WeightedProblem	Array of weighted problems to be optimized.
numRuns	int	Number of optimization runs per problem.
maxIterations	int	Max number of optimization iterations.
리턴	System.Diagnostics