reference_point_multi_layer: Determination of Multi-layer Reference Points

In rmoo: Multi-Objective Optimization in R

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 [e-mail]

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()

rmoo documentation built on Sept. 24, 2022, 9:05 a.m.