Functions for creating a random initial population to be used in non-dominated genetic algorithms.
nsgabin_Population(object) nsgareal_Population(object)
nsgaperm_Population(object)
Return a matrix of dimension object@popSize times the number of decision variables.
An object of class nsga-class, nsga2-class or nsga3-class.
Francisco Benitez
nsgabin_Population generates a random population of object@nBits binary values;
nsgareal_Population generates a random (uniform) population of real values in the range [object@lower, object@upper];
nsgaperm_Population generates a random (uniform) population of integer values in the range [object@lower, object@upper].
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