lapx: Laplace Crossover

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

Laplace Crossover

Description

Laplace Crossover (LAPX) is a crossover operator that uses a location parameter and a scaling parameter (Krishnamoorthy, 2006; Deep et.al., 2009).

Usage

lapx(x1, x2, cxon, cxa, cxb, ...)

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
cxa	Location Parameter
cxb	Scale Parameter. ( cxb > 0 )
...	Further arguments passed to or from other methods.

Value

A matrix containing the generated offsprings.

Author(s)

Zeynel Cebeci & Erkut Tekeli

References

Krishnamoorthy, K. (2006). Handbook of Statistical Distributions with Applications. Chapman & Hall/CRC

Deep, K., Singh, K.P., Kansal, M.L. and Mohan, C. (2009). A real-coded genetic algorithm for solving integer and mixed integer optimization problems. Applied Mathematics and Computation, 212(2): 505-518.

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, 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)
lapx(parent1, parent2, cxon=3)

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