Basic Analysis of Bin-Packing Heuristics
@article{Rieck2021BasicAO, title={Basic Analysis of Bin-Packing Heuristics}, author={Bastian Alexander Rieck}, journal={ArXiv}, year={2021}, volume={abs/2104.12235} }
The bin-packing problem continues to remain relevant in numerous application areas. This technical report discusses the empirical performance of dierent bin-packing heuristics for certain test problems.
7 Citations
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References
SHOWING 1-3 OF 3 REFERENCES
On-line bin packing with restricted repacking
- Mathematics, Computer ScienceJ. Comb. Optim.
- 2014
It is proved that the upper bound for the asymptotic competitive ratio of the semi-on-line algorithm is a decreasing function of k, which tends to 3/2 as k goes to infinity.
Lower Bound for the Online Bin Packing Problem with Restricted Repacking
- Computer Science, MathematicsSIAM J. Comput.
- 2008
This paper proves the lower bound on the asymptotic worst-case ratio for so-called fully dynamic bin packing algorithms, where the number of repackable items in each step is restricted by a constant using the Lambert $W$ function.
Computers and Intractability: A Guide to the Theory of NP-Completeness
- Computer Science
- 1978
Horn formulae play a prominent role in artificial intelligence and logic programming. In this paper we investigate the problem of optimal compression of propositional Horn production rule knowledge…