icx: Improved Cycle Crossover (ICX)

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

Improved Cycle Crossover (ICX)

Description

ICX is based on a deterministic algorithm that can produce up to 2 offspring (Hussain et.al., 2018).

Usage

icx(x1, x2, cxon, ...)

Arguments

x1	A vector. It contains the chromosomal information of parent-1.
x2	A vector. It contains the chromosomal information of parent-2.
cxon	Number of offspring to be generated as a result of crossover
...	Further arguments passed to or from other methods.

Value

A matrix containing the generated offsprings.

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Hussain, A., Muhammad, Y.S. and Sajid, M.N. (2018). An improved genetic algorithm crossover operator for traveling salesman problem. Turkish Journal of Mathematics and Computer Science, 9, 1-13.

See Also

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

Examples

parent1 = c(3, 4, 8, 2, 7, 1, 6, 5)
parent2 = c(4, 2, 5, 1, 6, 8, 3, 7)
icx(parent1, parent2)

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