dc: Discrete Crossover

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

Discrete Crossover

Description

The Discrete Crossover (DC) operator is an operator that swaps parent genes if a randomly selected value in the range [0,1] for each gene in the chromosome is greater than or equal to a given threshold value, and does not change if it is less than the threshold value.

Usage

dc(x1, x2, cxon, cxps, ...)

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
cxps	Threshold value. 0 <= cxps <= 1
...	Further arguments passed to or from other methods.

Value

A matrix containing the generated offsprings.

Author(s)

Zeynel Cebeci & Erkut Tekeli

See Also

cross, px1, kpx, sc, rsc, hux, ux, ux2, mx, rrc, disc, atc, cpc, eclc, raoc, 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(1.1, 1.6, 0.0, 1.1, 1.4, 1.2)
parent2 = c(1.2, 0.0, 0.0, 1.5, 1.2, 1.4)
dc(parent1, parent2, cxps=0.6)

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