nds_selection: Best points w.r.t. non dominated sorting with hypervolume...
In bbotk: Black-Box Optimization Toolkit

nds_selection

R Documentation

Best points w.r.t. non dominated sorting with hypervolume contribution.

Description

Select best subset of points by non dominated sorting with hypervolume contribution for tie breaking. Works on an arbitrary dimension of size two or higher.

Usage

nds_selection(points, n_select, ref_point = NULL, minimize = TRUE)

Arguments

`points`	(`matrix()`) Numeric matrix with each column corresponding to a point
`n_select`	(`integer(1L)`) Amount of points to select.
`ref_point`	(`numeric()`) Reference point for hypervolume.
`minimize`	('logical()') Should the ranking be based on minimization? Can be specified for each dimension or for all. Default is `TRUE` for each dimension.