selrss: Remainder Stochastic Selection

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

Remainder Stochastic Selection

Description

The fitness probability of individuals is multiplied by the population size to calculate the number of times the individual will reproduce in the mating pool, ie the expected number of copies. The expected number of copies is a fractional number. An exact fraction of the expected number of copies of the individual is sent to the mating pool. It is also determined whether it can go back to the mating pool for the fraction part (Brindle, 1981).

Usage

selrss(fitvals, ns, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
...	Further arguments passed to or from other methods.

Value

The indices of randomly selected individuals are returned.

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Brindle, A. (1981). Genetic algorithms for function optimization. PhD thesis, University of Alberta.

See Also

select, selrand, selrswrp, selrws, selrws2 , selsus, seldet, selwscale, selsscale, selsscale2, sellscale, selrscale, selrscale2, selpscale, selescale, seltour, seltour2

Examples

fitvals = c(6, 1, 2, 4, 5)
cnames = paste0("C",1:length(fitvals))
matpool = selrss(fitvals)
cat("Selected Chromosomes: ", cnames[matpool], "\n")

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