adana (version 1.1.0)

cross: Crossover

Description

It is a wrapper function that calls crossover operators from a single function.

Usage

cross(crossfunc, matpool, cxon, cxpc, gatype, ...)

Arguments

crossfunc

The name of the crossover operator

matpool

A matrix. Mating pool containing selected individuals.

cxon

Number of offspring to be generated as a result of crossover

cxpc

Crossover Ratio. Default value is 0.95

gatype

Indicates the GA type. "gga" is assigned for generational refresh, and "ssga" for steady-state refresh.

…

Further arguments passed to or from other methods.

Value

A matrix containing the generated offsprings.

References

Cebeci, Z. (2021). R ile Genetik Algoritmalar ve Optimizasyon Uygulamalari, 535 p. Ankara:Nobel Akademik Yayincilik.

See Also

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, smc

Examples

# NOT RUN {
genpop = initbin(12,8)                             #Initial population
m = ncol(genpop)-2                                 #Number of Gene
sumx = function(x, ...) (sum(x))                   #Fitness Function
fitvals = evaluate(fitfunc=sumx, genpop[,1:m])     #Fitness Values
genpop[,"fitval"] = fitvals
selidx = select(selfunc=selrws, fitvals)           #Selection of Parents
matpool = genpop[selidx,]                          #Mating Pool
offsprings = cross(crossfunc=px1, matpool=matpool, #Crossing
 cxon=2, cxpc=0.8, gatype="gga")
offsprings
offsprings = cross(crossfunc=kpx, matpool=matpool,
  cxon=2, cxpc=0.8, gatype="ssga", cxps=0.5, cxk=2)
offsprings
# }