selboltour: Boltzmann Tournament Selection

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

Boltzmann Tournament Selection

Description

In the Boltzman tournament, the initial selection pressure is low. Therefore, every individual, whether low or high fitness value, has a chance to be selected. In the following generations, the selection pressure gradually increases. In other words, individuals with high fitness value are forced to be selected.

Usage

selboltour(fitvals, ns, selt0, selg, selgmax, ...)

Arguments

fitvals	Vector of fitness values belonging to individuals
ns	Number of individuals to be selected
selt0	Number, Initial temperature
selg	Current generation number
selgmax	Maximum generation number
...	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, selrss, selsus, seldet, selwscale, selsscale, selsscale2, sellscale, selrscale, selrscale2, selpscale, selescale, seltour, seltour2

Examples

fitvals = c(6, -1, 2, 4, 5)             # Fitness Values
cnames = paste0("C",1:length(fitvals))  # Chromosome Names
matpool = selboltour(fitvals, selt0=100, selg=5, selgmax=100)
cat(cnames[matpool],"\n")
matpool = selboltour(fitvals, selt0=100, selg=95, selgmax=100)
cat(cnames[matpool],"\n")

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