`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. Returns a vector of indices of selected points.

`points`

`matrix()`

Numeric matrix with each column corresponding to a point.`n_select`

`integer(1)`

Amount of points to select.`ref_point`

`integer()`

Reference point for hypervolume.`minimize`

`logical()`

Should the ranking be based on minimization? (Single bool for all dimensions, or vector of bools with each entry corresponding to each dimension).