| bx {adana} | R Documentation |
Box Crossover / Flat Crossover
Description
In the parent chromosomes, the randomly selected value between the minimum and maximum values of each gene is assigned as the value of that gene in the offspring chromosome (Herrera et.al, 1998).
Usage
bx(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
Herrera, F., Lozano, M. and Verdegay J.L. (1998). Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review, 12(4), 265-319.
See Also
cross,
px1,
kpx,
sc,
rsc,
hux,
ux,
ux2,
mx,
rrc,
disc,
atc,
cpc,
eclc,
raoc,
dc,
ax,
hc,
sax,
wax,
lax,
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)
bx(parent1, parent2)