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

Source:`R/nds_selection.R`

`nds_selection.Rd`

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.

## 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.