rrc: Random Respectful Crossover (RRC)

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

Random Respectful Crossover (RRC)

Description

It is a crossover function that transfers genes that are equal at a particular locus on the parent chromosomes to the offspring as they are while transferring the different ones randomly (Radcliffe, 1991).

Usage

rrc(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

Radcliffe N.J. (1991). Forma analysis and Random Restpectful Recombination. In 4th Int. Conf. on Genetic Algorithms. Vol. 91, pp. 222-229.

See Also

cross, px1, kpx, sc, rsc, hux, ux, ux2, mx, 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, icx, smc

Examples

parent1 = c(1, 0, 1, 0, 1, 1, 1, 0)
parent2 = c(1, 1, 1, 0, 1, 0, 0, 1)
rrc(parent1, parent2)

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