selsscale2: Sigma scaling 2

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

Sigma scaling 2

Description

Sigma Scaling is based on the mean rather than the worst fitness value as in Window Scaling. In Sigma Scaling, an individual's fitness is a function of the population mean and population standard deviation. In this approach, if the scaled value is less than zero, it is set to zero.

Usage

selsscale2(fitvals, ns, selc, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
selc	Scaling parameter
...	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, sellscale, selrscale, selrscale2, selpscale, selescale, seltour, seltour2

Examples

fitvals = c(6.1, 3.5, 6.2, 4.4, 5.2)
cnames = paste0("C",1:length(fitvals))
matpool = selsscale2(fitvals)
cat(cnames[matpool],"\n")

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