ebx: Extended Box Crossover

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

Extended Box Crossover

Description

Extended Box Crossover (EBX) was proposed by Yoon and Kim (2012) as the more advanced form of Box Crossover (BX). In the EBX operator, the minimum and maximum values are weighted by an alpha factor.

Usage

ebx(x1, x2, lb, ub, cxon, cxalfa, ...)

Arguments

x1	A vector. It contains the chromosomal information of parent-1.
x2	A vector. It contains the chromosomal information of parent-2.
lb	A vector. Lower bounds of each gene in the chromosomes.
ub	A vector. Upper bounds of each gene in the chromosomes.
cxon	Number of offspring to be generated as a result of crossover
cxalfa	A vector. Alpha value for each gene in the chromosomes. If no value is entered, they are randomly selected by the function in the range [0,1].
...	Further arguments passed to or from other methods.

Value

A matrix containing the generated offsprings.

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Yoon, Y. and Kim, Y.H. (2012). The roles of crossover and mutation in real-coded genetic algorithms. In Bioinspired Computational Algorithms anf Their Applications (ed. S. Gao), London: INTECH Open Acces Publisher. pp. 65-82.

See Also

cross, px1, kpx, sc, rsc, hux, ux, ux2, mx, rrc, disc, atc, cpc, eclc, raoc, dc, ax, hc, sax, wax, lax, bx, blxa, blxab, lapx, elx, geomx, spherex, pmx, mpmx, upmx, ox, ox2, mpx, erx, pbx, pbx2, cx, icx, smc

Examples

lb = c(0, 0, 0, 0, 0, 0)
ub = c(2, 3, 1, 2, 4, 3)
parent1 = c(1.1, 1.6, 0.0, 1.1, 1.4, 1.2)
parent2 = c(1.2, 0.0, 0.0, 1.5, 1.2, 1.4)
ebx(parent1, parent2, lb, ub)

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