R/updt_restricted.R
updt_restricted.RdPopulation update using the restricted neighborhood replacement method for the MOEADr package.
updt_restricted(update, X, Xt, Y, Yt, V, Vt, sel.indx, B, ...)List containing the population update parameters. See
Section Update Strategies of the moead() documentation for
details. update must contain a field update$nr, a positive integer that
determines the maximum number of copies of each candidate solution.
Matrix of candidate solutions
Matrix of incumbent solutions
Matrix of objective function values of X
Matrix of objective function values of Xt
List object containing information about the constraint violations
of the candidate solutions, generated by evaluate_population()
List object containing information about the constraint violations
of the incumbent solutions, generated by evaluate_population()
matrix of selection indices, generated by
order_neighborhood()
Neighborhood matrix, generated by define_neighborhood().
other parameters (included for compatibility with generic call)
List object containing the update population matrix (X),
and its corresponding matrix of objective function values (Y) and
constraint value list (V).
The restricted neighborhood replacement method behaves like the "standard"
replacement method, except that each individual can only be selected up to
nr times. After this limit has been reached, the next best individual in
the same neighborhood is selected.
This update routine is intended to be used internally by the main moead()
function, and should not be called directly by the user.
F. Campelo, L.S. Batista, C. Aranha (2020): The MOEADr Package: A
Component-Based Framework for Multiobjective Evolutionary Algorithms Based on
Decomposition. Journal of Statistical Software doi:10.18637/jss.v092.i06