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.

Value

integer()

Parameters

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).