Calculates neighborhood relations for the MOEADr package
define_neighborhood(neighbors, v.matrix, iter)List containing the decomposition method parameters. This list must contain the following key-value pairs:
neighbors$name, type of neighborhood to use. The following types
are currently available:
neighbors$name = "lambda": defines the neighborhood using
the distance matrix for the weight vectors. The calculation is
performed only once for the entire run.
neighbors$name = "x": defines the neighborhood using
the distance matrix for the incumbent solution associated with
each subproblem. In this case the calculation is performed at
each iteration.
neighbors$T: Neighborhood size. The value of neighbors$T
must be smaller than the number of subproblems.
neighbors$delta.p: Probability of sampling from the neighborhood
when performing variation. Must be a scalar value between 0 and 1.
matrix of vectors to be used for defining the neighborhoods.
iteration counter of the MOEA/D
List containing the matrix of selection probabilities (P) and
the matrix of neighborhoods (B).
This routine calculates the neighborhood relations for the MOEA/D.
Warning: this routine may access (but not directly modify) variables from the calling environment.
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