adana (version 1.1.0)

cpc: 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.

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

# NOT RUN {
parent1 = c(1, 0, 1, 0, 1, 1, 1, 0)
parent2 = c(1, 1, 1, 0, 1, 0, 0, 1)
cpc(parent1, parent2)
# }