adana (version 1.1.0)

selsscale2: 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.

See Also

select, selrand, selrswrp, selrws, selrws2, selrss, selsus, seldet, selwscale, selsscale, sellscale, selrscale, selrscale2, selpscale, 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 = selsscale2(fitvals)
cat(cnames[matpool],"\n")
# }