mcga (version 3.0.3)

byte_crossover: Performs crossover operation on a pair of two selected parent candidate solutions

Description

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 byte_crossover than the byte-coded crossover operator is applied in the genetic search. In mcga2 function, the hard-coded crossover parameter is set to byte_crossover by definition. byte_crossover function simply takes two double vectors (parents) and combines the bytes of doubles using a Uniform distribution with parameters 0 and 1.

Usage

byte_crossover(object, parents, ...)

Value

List of two generated offspring

Arguments

object

A GA::ga object

parents

Indices of the selected parents

...

Additional arguments to be passed to the function

Author

Mehmet Hakan Satman - [e-mail]

References

M.H.Satman (2013), Machine Coded Genetic Algorithms for Real Parameter Optimization Problems, Gazi University Journal of Science, Vol 26, No 1, pp. 85-95

See Also

mcga2

Examples

f <- function(x){ 
  return(-sum( (x-5)^2 ) )
}
myga <- GA::ga(type="real-valued", fitness = f, popSize = 100, maxiter = 200, 
              lower = rep(-50,5), upper = rep(50,5), crossover = byte_crossover,
              mutation = byte_mutation)
print(myga@solution)