nds_selection {bbotk} | 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.
|
Value
Vector of indices of selected points
[Package
bbotk version 1.1.0
Index]