selpscale: Power-law Scaling

In adana: Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization

Power-law Scaling

Description

the Power-law Scaling is a selection method in which the kth power of the fit values is used as the scaled fit values (Gillies, 1985).

Usage

selpscale(fitvals, ns, selk, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
selk	Power factor
...	Further arguments passed to or from other methods.

Value

The indices of randomly selected individuals are returned.

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Gillies, A.M. (1985). Machine learning procedures for generating image domain feature detectors. PhD thesis, University of Michigan, Ann Arbor.

See Also

select, selrand, selrswrp, selrws, selrws2, selrss, selsus, seldet, selwscale, selsscale, selsscale2, sellscale, selrscale, selrscale2, selescale, seltour, seltour2

Examples

fitvals = c(6.1, 3.5, 6.2, 4.4, 5.2)
cnames = paste0("C",1:length(fitvals))
matpool = selpscale(fitvals, selk=1.1)
cat(cnames[matpool],"\n")

adana documentation built on March 18, 2022, 6:03 p.m.