reference_point_multi_layer function

Determination of Multi-layer Reference Points

A implementation of Multi-layer Reference Points Generation.

reference_point_multi_layer(...)

Arguments

• ...: The different layers provided by the user

Returns

A matrix with the multi-layer reference points

Details

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.

References

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.

See Also

generate_reference_points() and get_fixed_rowsum_integer_matrix()

Author(s)

Francisco Benitez benitezfj94@gmail.com