nsga_Mutation: Mutation operators in non-dominated genetic algorithms

In rmoo: Multi-Objective Optimization in R

Mutation operators in non-dominated genetic algorithms

Description

Functions implementing mutation non-dominated genetic operator.

Usage

  nsgabin_raMutation(object, parent)

  nsgareal_raMutation(object, parent)
  nsgareal_polMutation(object, parent, nm = 0.20)

  nsgaperm_simMutation(object, parent)

Arguments

object	An object of class "nsga", "nsga2" or "nsga3" usually resulting from a call to function nsga, nsga2, nsga3.
parent	A vector of values for the parent from the current population where mutation should occur.
nm	Parameters of genetic operators.

Value

Return a vector of values containing the mutated string.

Author(s)

Francisco Benitez

References

Scrucca, L. (2017) On some extensions to 'GA' package: hybrid optimisation, parallelisation and islands evolution. The R Journal, 9/1, 187-206, doi: 10.32614/RJ-2017-008.

rmoo documentation built on Sept. 24, 2022, 9:05 a.m.