selescale: Exponent Scaling

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

Exponent Scaling

Description

The Exponent Scaling operator is the selection operator in which the fitness values are scaled by the simulated annealing method.

Usage

selescale(fitvals, ns, selb, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
selb	Exponent coefficent, (selb >= 0.0)
...	Further arguments passed to or from other methods.

Value

The indices of randomly selected individuals are returned.

Author(s)

Zeynel Cebeci & Erkut Tekeli

See Also

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

Examples

fitvals = c(6.1, 3.5, 6.2, 4.4, 5.2)
cnames = paste0("C",1:length(fitvals))
matpool = selescale(fitvals, selb=0.1)
cat(cnames[matpool],"\n")
matpool = selescale(fitvals, selb=2)
cat(cnames[matpool],"\n")

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