sbx_crossover | R Documentation |
This function is not called directly but is given as a parameter in GA::ga
function.
In GA::ga
, if the parameter crossover=
is set to sbx_crossover
than
the sbx crossover operator is applied in the genetic search. sbx_crossover mimics the classical single-point crossover operator
in binary genetic algorithms.
sbx_crossover(object, parents, ...)
object |
A |
parents |
Indices of the selected parents |
... |
Additional arguments to be passed to the function |
List of two generated offspring
Mehmet Hakan Satman - mhsatman@istanbul.edu.tr
Deb, Kalyanmoy, and Ram Bhushan Agrawal. "Simulated binary crossover for continuous search space." Complex systems 9.2 (1995): 115-148.
f <- function(x){
return(-sum( (x-5)^2 ) )
}
myga <- ga(type="real-valued", fitness = f, popSize = 100, maxiter = 100,
min = rep(-50,5), max = rep(50,5), crossover = sbx_crossover)
print(myga@solution)
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