sellscale: Fitness Linear Scaling

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

Fitness Linear Scaling

Description

The Fitness Linear Scaling operator scales the fitness values using a linear regression model and performs the selection (Louis, 2019).

Usage

sellscale(fitvals, ns, sells, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
sells	Scaling 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

Louis, S.J. (2019). Scaling in Genetic Algorithms. URL https://www.cse.unr.edu/~sushil/class/gas/notes/scaling.pdf

See Also

select, selrand, selrswrp, selrws, selrws2, selrss, selsus, seldet, selwscale, selsscale, selsscale2, 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 = sellscale(fitvals)
cat(cnames[matpool],"\n")

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