Evaluate population — evaluate_population • MOEADr

Evaluate a population matrix on the objective functions for the MOEADr package

evaluate_population(X, problem, nfe)

Arguments

X: Population matrix of the MOEA/D (each row is a candidate solution).
problem: list of named problem parameters. See Section Problem Description of the moead() documentation for details.
nfe: counter of function evaluations from the moead() routine.

Value

List object containing the matrix of objective function values, a list object containing information about the constraint violations (a matrix of constraint values Cmatrix, a matrix of constraint violations Vmatrix, and a vector of total violations v), and the updated counter nfe.

Details

This routine evaluates a population matrix for the MOEA/D. Each row of the matrix is considered as a candidate solution. This routine expects the candidate solutions to be standardized, i.e., that the variable limits given in problem$xmin and problem$xmax are mapped to 0 and 1, respectively.

References

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

Examples

ex.problem <- list(name = "example_problem",
                   xmin = rep(-1, 5),
                   xmax = rep(1, 5),
                   m    = 2)
X <- create_population(20, ex.problem)
Y <- evaluate_population(X, ex.problem, nfe = 0)