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Preprint in the OpenAI Math release

Additive hardness and unbounded configuration gaps in bin packing

OpenAI

Abstract

We disprove the Modified Integer Round-Up Conjecture for bin packing by constructing instances with arbitrarily large additive gaps between the configuration-LP value and the integral optimum. We also prove that, for every fixed nonnegative integer c, distinguishing instances that fit in B bins from those requiring more than bins is NP-hard. Both results hold with rational item sizes greater than 1/6, so each bin contains at most five items.

open until 1 Jan 2028

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