View source: R/scalarize_values.R
scalarize_values | R Documentation |
Perform scalarization for the MOEADr package.
scalarize_values(normYs, W, B, aggfun)
normYs |
List generated by |
W |
matrix of weights, generated by |
B |
neighborhood matrix, generated by |
aggfun |
List containing the aggregation function parameters. See
Section |
This routine calculates the scalarized performance values for the MOEA/D.
The list of available scalarization methods can be generated using
get_scalarization_methods()
[ (T+1) x N ]
matrix of scalarized performance values. Each column
contains the T scalarized performances of the candidate solutions in the
neighborhood of a given subproblem, plus the scalarized performance value
for the incumbent solution for that subproblem.
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
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