nsga_Population {rmoo}

Population initialization in non-dominated genetic algorithms

Description

Functions for creating a random initial population to be used in non-dominated genetic algorithms.

Usage

  nsgabin_Population(object)

  nsgareal_Population(object)

  nsgaperm_Population(object)

Arguments

object

An object of class nsga-class, nsga2-class or nsga3-class.

Details

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].

Value

Return a matrix of dimension object@popSize times the number of decision variables.

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.

See Also

nsga, nsga2 and nsga3