blxa: Blended Crossover (BLX-alpha)

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

Blended Crossover (BLX-α)

Description

Eshelman and Schaffer (1993) proposed an algorithm called Blended-α Crossover (BLX-α) by introducing the concept of interval scheme to be applied in real-valued problems (Takahashi & Kita, 2001).

Usage

blxa(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

Eshelman, L.J. and Schaffer, J.D. (1993). Real-coded genetic algorithms and interval schemata. In Foundations of Genetic Algorithms, Vol. 2, pp. 187-202, Elsevier.

Takahashi, M. and Kita, H. (2001). A crossover operator using independent component analysis for real-coded genetic algorithms. In Proc. of the 2001 Cong. on Evolutionary Computation (IEEE Cat.No. 01TH8546), Vol. 1, pp. 643-649. IEEE.

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, blxab, lapx, elx, geomx, spherex, pmx, mpmx, upmx, ox, ox2, mpx, erx, pbx, pbx2, cx, icx, smc

Examples

ebeveyn1 = c(1.1, 1.6, 0.0, 1.1, 1.4, 1.2)
ebeveyn2 = c(1.2, 0.0, 0.0, 1.5, 1.2, 1.4)
blxa(ebeveyn1, ebeveyn2, cxon=3)

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