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Best Fit Bin Packing with Random Order Revisited

Susanne Albers1, Arindam Khan2, Leon Ladewig1

  • 1Department of Computer Science, Technial University of Munich, Boltzmannstr. 3, 85748 Garching, Germany.

Algorithmica
|November 15, 2021
PubMed
Summary

This study improves the analysis of the Best Fit algorithm for bin packing. Researchers established a new lower bound for its random order ratio, enhancing understanding of its performance with large items.

Keywords:
Online bin packingProbabilistic analysisRandom arrival order

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