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rmoo (version 0.2.0)

nsga_Mutation: 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)

Value

Return a vector of values containing the mutated string.

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.

Author

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.