View source: R/generate_reference_points.R

generate_reference_points | R Documentation |

A implementation of Das and Dennis's Reference Points Generation.

generate_reference_points(m, h, scaling = NULL)

`m, h, scaling` |
Number of reference points 'h' in M-objective problems, and scaling that is the scale on which the points are distributed. |

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.

A matrix with the reference points uniformly distributed.

Francisco Benitez benitezfj94@gmail.com

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.

`non_dominated_fronts()`

and `get_fixed_rowsum_integer_matrix()`

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