PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Optimal on-line bin packing with two item sizes
Gregory Gutin, Tommy Jensen and Anders Yeo
Algorithmic Oper. Research Volume to apper, 2006.

Abstract

We study the on-line bin packing problem (BPP). In BPP, we are given a sequence $B$ of items $a_1,a_2,\ldots, a_n$ and a sequence of their sizes $(s_1,s_2,\ldots,s_n)$ (each size $s_i\in (0,1]$) and are required to pack the items into a minimum number of unit-capacity bins. Let $\rr$ be the minimal asymptotic competitive ratio of an on-line algorithm in the case when all items are only of two different sizes $\al$ and $\bb$. We prove that $\max\{ \rr :\ \al,\bb \in (0,1]\} = 4/3.$ We also obtain an exact formula for $\rr$ when $\max\{\al,\bb\}>\frac{1}{2}$. This result extends the result of Faigle, Kern and Turan (1989) that $\rr = \frac{4}{3}$ for $\be=\frac{1}{2}-\epsilon$ and $\al=\frac{1}{2}+\epsilon$ for any fixed nonnegative $\epsilon < \frac{1}{6}.$

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:1406
Deposited By:Gregory Gutin
Deposited On:28 November 2005