ax: Avarage Crossover

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

Avarage Crossover

Description

The AX operator calculates the simple arithmetic mean of the parental chromosomes. Therefore, it is a single-output operator and generates a single offspring (Gwiazda, 2006).

Usage

ax(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

Gwiazda T.D. (2006). Genetic Algorithms Reference. Vol. I: Crossover for Single-Objective Numerical Optimization Problems. Tomaszgwiadze E-books, Poland.

See Also

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

Examples

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)
ax(parent1, parent2, cxon=1)

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