unfair_average_crossover: Performs unfair average crossover operation on a pair of two...

In mcga: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems

Performs unfair average 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 unfair_average_crossover than the unfair average crossover operator is applied in the genetic search.

Usage

unfair_average_crossover(object, parents, ...)

Arguments

object	A GA::ga object
parents	Indices of the selected parents
...	Additional arguments to be passed to the function

Value

List of two generated offspring

Author(s)

Mehmet Hakan Satman - [e-mail]

Examples

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 = unfair_average_crossover)
print(myga@solution)

mcga documentation built on Nov. 27, 2023, 5:12 p.m.