cpc: Count-preserving Crossover (CPC)

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

Count-preserving Crossover (CPC)

Description

Count-preserving Crossover (CPC) is an operator that assumes the same number of chromosomes equal to 1 in each chromosome in the initial population and tries to preserve this number (Hartley & Konstam, 1993; Gwiazda 2006).

Usage

cpc(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

Hartley S.J. and Konstam A.H. (1993). Using genetic algorithms to generates Steiner triple systems. In Proc. of the 1993 ACM Conf. on Computer Science (pp. 366-371).

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, 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)
cpc(parent1, parent2)

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