selwscale {adana} | R Documentation |
Window Scaling
Description
Window Scaling is a method based on subtracting the worst fitness value from the other fitness values. In this case, since the scaled values of the worst fit individuals will be 0, these individuals will not be given a chance to be selected.
Usage
selwscale(fitvals, ns, fmin, ...)
Arguments
fitvals |
Vector of fitness values belonging to individuals |
ns |
Number of individuals to be selected |
fmin |
The number to subtract from all fitness values. |
... |
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
,
selsus
,
seldet
,
selrss
,
selsscale
,
selsscale2
,
sellscale
,
selrscale
,
selrscale2
,
selpscale
,
selescale
,
seltour
,
seltour2
Examples
fitvals = c(6.1, 3.5, 6.2, 4.4, 5.2)
fmin = min(fitvals)
cnames = paste0("C",1:length(fitvals))
matpool = selwscale(fitvals, fmin=fmin)
cat(cnames[matpool],"\n")
fitvals = fitvals[matpool]
fitvals
matpool = selwscale(fitvals, fmin=fmin)
cat(cnames[matpool],"\n")
fitvals = fitvals[matpool]
fitvals
fmin = min(fitvals)
matpool = selwscale(fitvals, fmin=fmin)
cat(cnames[matpool],"\n")
[Package adana version 1.1.0 Index]