| selsscale {adana} | R Documentation |
Sigma Scaling
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 (Forrest, 1985; Goldberg, 1989).
Usage
selsscale(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
References
Forrest, S. (1985). Documentation of prisoner's dilemma and norms programs that use the genetic algorithm. Technical report, University of Michigan.
See Also
select,
selrand,
selrswrp,
selrws,
selrws2,
selrss,
selsus,
seldet,
selwscale,
selsscale2,
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 = selsscale(fitvals, selc=2)
cat(cnames[matpool],"\n")