adana3: Dynamic mutation and crossover function (Adana 3)

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

Dynamic mutation and crossover function (Adana 3)

Description

This adaptation function proposed by Cebeci (2021) is an adaptation function that takes into account the cooperation of individuals.

Usage

adana3(fitvals, g, gmax, cxpc, mutpm,
                  adapc, adapd, ...)

Arguments

fitvals	A vector. Fitness values of current generation
g	Current generation
gmax	Maximum generation
cxpc	Crossover rate. 0 <= cxpc <= 1
mutpm	Mutation rate. 0 <= mutpm <= 1
adapc	Adaptation threshold for crossover rate. 0 <= adapa <= 1. default is 0.05
adapd	Adaptation threshold for mutation rate. 0 <= adapb <= 1. default is 0.05
...	Further arguments passed to or from other methods.

Value

pc	Crossover rate
pm	Mutation rate

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Cebeci, Z. (2021). R ile Genetik Algoritmalar ve Optimizasyon Uygulamalari, 535 p. Ankara:Nobel Akademik Yayincilik.

See Also

fixpcmut, ilmdhc, adana1, adana2, leitingzhi

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