xegaDfScaleFactorFactory: Configure the scale factor function for differential...

In xegaDfGene: Gene Operations for Real-Coded Genes

Configure the scale factor function for differential mutation.

Description

xegaDfScaleFactorFactory() implements the selection of one of the scale factor functions in this package by specifying a text string. The selection fails ungracefully (produces a runtime error) if the label does not match. The functions are specified locally.

Current support:

1. "Const" returns ConstScaleFactor().

2. "Uniform" returns UniformRandomScaleFactor().

3. "DERSF" returns UniformRandomScaleFactorDERSF().

4. "DEVSF" returns DEVSF().

5. "CauchySF" returns CauchySF().

6. "FBSASF" returns FitnessBasedSelfAdaptiveSF().

7. "RGSF" returns RandomGaussianSF().

Usage

xegaDfScaleFactorFactory(method = "Const")

Arguments

method

A string specifying the scale factor function.

Details

In the literature, several approaches have been suggested. For a review see Sharma et al. (2019).

Value

A scale factor function for genes.

References

Sharma, Prashant; Sharma, Harish; Kumar, Sandeep; Bansal, Jagdish Chand (2019): A Review on Scale Factor Strategies in Differential Evolution Algorithm. pp. 925-934. In: Bansal, Jagdish Chand et al. (2019) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, Vol. 817. Springer, Singapore, 2019. (ISBN:978-981-13-1594-7)

See Also

Other Configuration: lFxegaDfGene, xegaDfCrossoverFactory(), xegaDfGeneMapFactory(), xegaDfMutationFactory(), xegaDfReplicationFactory()

Examples

f<-xegaDfScaleFactorFactory("Const")
f(lFxegaDfGene)
f<-xegaDfScaleFactorFactory("Uniform")
f(lFxegaDfGene)
f(lFxegaDfGene)

xegaDfGene documentation built on Aug. 22, 2025, 5:12 p.m.