R/mx.R

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

# Mask crossover
mx = function(x1, x2, cxon, ...){
  m = length(x1)
  if(missing(cxon)) cxon = 2
  offsprings = matrix(NA, nrow=cxon, ncol=m)
  for(i in seq(from=1, to=cxon, by=2)){
    y1 = x1
    y2 = x2
    p1 = round(runif(m, 0, 1))
    p2 = round(runif(m, 0, 1))
    for(j in 1:m){
      if(!p1[j] & p2[j]){
        y1[j] = x2[j]
      }else if(p1[j] & !p2[j]){ 
        y2[j] = x1[j]
      }
    }  
    offsprings[i,] = y1
    if(i==cxon & cxon%%2==1) break
    offsprings[i+1,] = y2
  }
  return(offsprings)
}