xegaDfGene (version 1.0.0.9)

FitnessBasedSelfAdaptiveSF: Fitness based self adaptive scale factor.

Description

The scale factor is a product of a relative fitness based term times a uniform random number.

Usage

FitnessBasedSelfAdaptiveSF(lF)

Value

A scale factor.

Arguments

lF

Local configuration.

Details

The parameters are:

1. fit: fitness of gene0.

2. max fit: the best fitness given by lF$CBestFitness().

The scale factor is in the interval of [-1.05, 1.05].

For details, see section 4 of Sharma et al. (2019), p. 931 or Sharma et al. (2013).

If the optimal fitness value is 0, the quotient for computing the relative fitness is Inf or -Inf. In this case, SF=0.1.

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)

Sharma, Harish; Shrivastava, Pragati; Bansal, Jagdish Chand; Tiwari, Ritu (2013) Fitness Based Self Adaptive Differential Evolution pp. 71-94. In: Terrazas et al. (2013) Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) Springer, Heidelberg. (doi:10.1007/978-3-319-01692-4_6)

See Also

Other Scale Factor: CauchySF(), ConstScaleFactor(), DETVSF(), RandomGaussianSF(), UniformRandomScaleFactor(), UniformRandomScaleFactorDERSF()

Examples

parm<-function(x){function() {return(x)}}
lFxegaDfGene$CBestFitness<-parm(35)
pop3<-lapply(rep(0,3), function(x) xegaDfGene::xegaDfInitGene(lFxegaDfGene))
lFxegaDfGene$gene0<-pop3[[1]]
FitnessBasedSelfAdaptiveSF(lFxegaDfGene) 
lFxegaDfGene$gene0<-pop3[[2]]
FitnessBasedSelfAdaptiveSF(lFxegaDfGene) 
lFxegaDfGene$gene0<-pop3[[3]]
FitnessBasedSelfAdaptiveSF(lFxegaDfGene)