| reference_point_multi_layer {rmoo} | R Documentation |
Determination of Multi-layer Reference Points
Description
A implementation of Multi-layer Reference Points Generation.
Usage
reference_point_multi_layer(...)
Arguments
... |
The different layers provided by the user |
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.
Value
A matrix with the multi-layer reference points
Author(s)
Francisco Benitez benitezfj94@gmail.com
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()