Functions implementing crossover non-dominated genetic operator.
nsga_spCrossover(object, parents) nsgabin_spCrossover(object, parents)
nsgareal_spCrossover(object, parents)
nsgareal_sbxCrossover(object, parents, nc = 20)
nsgaperm_oxCrossover(object, parents)
Return a list with two elements:
a matrix of dimension 2 times the number of decision variables containing the generated offsprings;
a vector of length 2 containing the fitness values for the offsprings. A value NA is returned if an offspring is different (which is usually the case) from the two parents.
An object of class "nsga", "nsga2" and "nsga3", usually resulting from a call to function nsga, nsga2 and nsga3.
A two-rows matrix of values indexing the parents from the current population.
Parameters of non-dominated genetic operators.
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()