Abstract
We improve the lower bound on the asymptotic competitive ratio of any online algorithm for bin packing to above 1.54278. We demonstrate for the first time the advantage of branching and the applicability of full adaptivity in the design of lower bounds for the classic online bin packing problem. We apply a new method for weight based analysis, which is usually applied only in proofs of upper bounds. The values of previous lower bounds were approximately 1.5401 and 1.5403.
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J. Balogh was supported by the projects “Extending the activities of the HU-MATHS-IN Hungarian Industrial and Innovation Mathematical Service Network” EFOP-3.6.2-16-2017-00015. J. Békési was supported by the EU-funded Hungarian Grant EFOP-3.6.2-16-2017-00015 and by National Research, Development and Innovation Office NKFIH under the Grant SNN 129178. Gy. Dósa was supported by National Research, Development and Innovation Office – NKFIH under the Grant SNN 129364 and by Széchenyi 2020 under the EFOP-3.6.1-16-2016-00015. L. Epstein and A. Levin were partially supported by a Grant from GIF - the German-Israeli Foundation for Scientific Research and Development (Grant number I-1366-407.6/2016). A. Levin was also partially supported by Grant number 308/18 of ISF - Israeli Science Foundation.
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Balogh, J., Békési, J., Dósa, G. et al. A New Lower Bound for Classic Online Bin Packing. Algorithmica 83, 2047–2062 (2021). https://doi.org/10.1007/s00453-021-00818-7
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DOI: https://doi.org/10.1007/s00453-021-00818-7