sellrs: Linear Ranking Selection 1

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

Linear Ranking Selection 1

Description

The Linear Ranking Selection operator selects via probabilities obtained using ordered numbers according to their fitness values (Pohlheim, 2020).

Usage

sellrs(fitvals, ns, sels, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
sels	Selection pressure, (1.0 <= sels <= 2.0)
...	Further arguments passed to or from other methods.

Value

The indices of randomly selected individuals are returned.

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Pohlheim, H. (2020). Tutorial for "GEATbx: Genetic and Evolutionary Algorithms Toolbox for use with MATLAB", Version 3.30, URL http://www.geatbx.com/ver_3_3/algindex-02html#P181_11564.

See Also

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

Examples

fitvals = c(6.1, 3.5, 6.2, 4.4, 5.2)    # Fitness Values
cnames = paste0("C",1:length(fitvals))  # Chromosome Names
matpool = sellrs(fitvals)
cat(cnames[matpool],"\n")
matpool = sellrs(fitvals, sels=2)
cat(cnames[matpool],"\n")

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