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Update: also the emoa implementation of the hypervolume contribution can only be used to drop a single point (see documentation). So the issue is still not solved.
I did not found an implementation in R, which efficiently solves the subset problem of selecting a subset of points which have the minimum hypervolume contribution.
juliambr
changed the title
nds_selection: Implementation of hypervolume contribution
nds_selection: Don't compute hypervolume contribution in a greedy manner
Jul 1, 2020
The computation of the hypervolume contribution (see here) is "greedy". This should not be done greedy, see for example this publication.
Just replace it by the implementation of the
emoa
package?emoa::hypervolume_contribution
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