On the online bin packing problem

Steven S. Seiden

Journal of the ACM · 2002 · 316 citations · 12 references

Concepts

TL;DR

The framework offers a unified explanation of Harmonic‑based online bin packing algorithm performance. The study introduces a new framework for analyzing online bin packing algorithms. The authors present a new framework for analyzing online bin packing algorithms. The framework shows that Harmonic++ achieves an asymptotic performance ratio of at most 1.58889, establishing it as the best upper bound to date, while correcting a flaw in the Harmonic+1 analysis and demonstrating its ratio is at least 1.59217.

Abstract

A new framework for analyzing online bin packing algorithms is presented. This framework presents a unified way of explaining the performance of algorithms based on the Harmonic approach. Within this framework, it is shown that a new algorithm, Harmonic++, has asymptotic performance ratio at most 1.58889. It is also shown that the analysis of Harmonic+1 presented in Richey [1991] is incorrect; this is a fundamental logical flaw, not an error in calculation or an omitted case. The asymptotic performance ratio of Harmonic+1 is at least 1.59217. Thus, Harmonic++ provides the best upper bound for the online bin packing problem to date.

References

12