generate_reference_points {rmoo} | R Documentation |
Determination of Reference Points on a Hyper-Plane
Description
A implementation of Das and Dennis's Reference Points Generation.
Usage
generate_reference_points(m, h, scaling = NULL)
Arguments
m , h , scaling |
Number of reference points 'h' in M-objective problems, and scaling that is the scale on which the points are distributed. |
Details
The implemented Reference Point Generation is based on the Das and Dennis's systematic approach that places points on a normalized hyper-plane which is equally inclined to all objective axes and has an intercept of one on each axis.
Value
A matrix with the reference points uniformly distributed.
Author(s)
Francisco Benitez benitezfj94@gmail.com
References
K. Deb and H. Jain, 'An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints,' in IEEE Transactions on Evolutionary Computation, vol. 18, no. 4, pp. 577-601, Aug. 2014, doi: 10.1109/TEVC.2013.2281535.
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
non_dominated_fronts()
and get_fixed_rowsum_integer_matrix()