| smc {adana} | R Documentation |
Sinusoidal Motion Crossover (SMC)
Description
The proposed algorithm with the name of SMC is a simple algorithm that works deterministic and alternatively (Kumar & Panneerselvam, 2017).
Usage
smc(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
Varun Kumar, S.G. and Panneerselvam R. (2017). A Study of Crossover Operators for Genetic Algorithms to Solve VRP and its Variants and New Sinusoidal Motion Crossover Operator. International Journal of Computational Intelligence Research. Vol 13, Number 7, pp. 1717-1733
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,
mpx,
erx,
pbx,
pbx2,
cx,
icx
Examples
parent1 = c(1, 2, 3, 4, 5, 6, 7, 8)
parent2 = c(4, 6, 7, 3, 2, 1, 8, 6)
smc(parent1, parent2)