selpscale {adana} | R Documentation |
Power-law Scaling
Description
the Power-law Scaling is a selection method in which the kth power of the fit values is used as the scaled fit values (Gillies, 1985).
Usage
selpscale(fitvals, ns, selk, ...)
Arguments
fitvals |
Vector of fitness values belonging to individuals |
ns |
Number of individuals to be selected |
selk |
Power factor |
... |
Further arguments passed to or from other methods. |
Value
The indices of randomly selected individuals are returned.
Author(s)
Zeynel Cebeci & Erkut Tekeli
References
Gillies, A.M. (1985). Machine learning procedures for generating image domain feature detectors. PhD thesis, University of Michigan, Ann Arbor.
See Also
select
,
selrand
,
selrswrp
,
selrws
,
selrws2
,
selrss
,
selsus
,
seldet
,
selwscale
,
selsscale
,
selsscale2
,
sellscale
,
selrscale
,
selrscale2
,
selescale
,
seltour
,
seltour2
Examples
fitvals = c(6.1, 3.5, 6.2, 4.4, 5.2)
cnames = paste0("C",1:length(fitvals))
matpool = selpscale(fitvals, selk=1.1)
cat(cnames[matpool],"\n")
[Package adana version 1.1.0 Index]