nsga_Crossover function

Crossover operators in non-dominated genetic algorithms

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)

Arguments

• object: An object of class "nsga", "nsga2" and "nsga3", usually resulting from a call to function nsga, nsga2 and nsga3.
• parents: A two-rows matrix of values indexing the parents from the current population.
• nc: Parameters of non-dominated genetic operators.

Returns

Return a list with two elements:

• children: a matrix of dimension 2 times the number of decision variables containing the generated offsprings;

• fitness: 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.

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.

Author(s)

Francisco Benitez

See Also

nsga(), nsga2() and nsga3()