adana (version 1.1.0)

selpscale: 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.

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

# NOT RUN {
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")
# }