A implementation of Multi-layer Reference Points Generation.
reference_point_multi_layer(...)A matrix with the multi-layer reference points
The different layers provided by the user
Francisco Benitez benitezfj94@gmail.com
The Multi-layer reference point implementation is based on Blank and Deb's pymoo library, the approach generates different layers of references point at different scales, provided by the user.
J. Blank and K. Deb, "Pymoo: Multi-Objective Optimization in Python," in IEEE Access, vol. 8, pp. 89497-89509, 2020, doi: 10.1109/ACCESS.2020.2990567.
Das, Indraneel & Dennis, J. (2000). Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems. SIAM Journal on Optimization. 8. 10.1137/S1052623496307510.
generate_reference_points() and get_fixed_rowsum_integer_matrix()