Functions implementing selection non-dominated genetic operator.
nsga_lrSelection(object, r, q)
nsga_tourSelection(object, k = 3, ...) nsgabin_lrSelection(object, r, q)
nsgabin_tourSelection(object, k = 3, ...)
nsgareal_lrSelection(object, r, q)
nsgareal_tourSelection(object, k = 3, ...)
nsgaperm_lrSelection(object, r, q)
nsgaperm_tourSelection(object, k = 3, ...)
Return a list with two elements:
a matrix of dimension object@popSize times the number of decision variables containing the selected individuals or strings;
a vector of length object@popSize containing the fitness values for the selected individuals.
An object of class "nsga", "nsga2" or "nsga3", usually resulting from a call to function nsga, nsga2 or nsga3.
A tuning parameter for the specific selection operator.
A tuning parameter for the specific selection operator.
A tuning parameter for the specific selection operator.
Further arguments passed to or from other methods.
Francisco Benitez
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.
nsga(),
nsga2() and
nsga3()