mpx: Maximal Preservative Crossover (MPX)

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

Maximal Preservative Crossover (MPX)

Description

The Maximal Preservative Crossover (MPX) operator is an operator that tries to preserve good edges but ensure adequate gene exchange between parents (Muhlenbein et.al., 1988).

Usage

mpx(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

Muhlenbein, H., Gorges-Schleuter, M. and Kramer, O. (1988). Evolution algorithms in combinatorial optimization. Parallel Computing, 7(1), 65-85.

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, erx, pbx, pbx2, cx, icx, smc

Examples

parent1 = c(0, 8, 4, 5, 6, 7, 1, 2, 3, 9)
parent2 = c(6, 7, 1, 2, 4, 8, 3, 5, 9, 0)
mpx(parent1, parent2)

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