Citation

Lemaire, P; Finke, G and Brauner, N The Best-Fit Rule for Multibin Packing: An Extension of Graham's List Algorithms. In Selected papers from the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), pages 269-286, Springer, 2005.

Selected


Abstract

In this paper, we deal with multibin packing problems. These problems are linked to multiprocessor-task scheduling as well as to bin packing problems: they consist of n objects to be packed into m bins, with each object requiring space in several bins. We propose an intuitive greedy approach (the best-fit rule), which extends the well-known list algorithms for multiprocessor scheduling, to solve the case when objects have fixed height and size. We prove that it provides a 2-approximation, and even a 4/3-approximation if the objects are sorted by non-increasing heights. Based on this method, a polynomial time approximation scheme (PTAS) will be developed.


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Bibtex

@INBOOK{2005-269-286-SI, chapter = {Selected papers from the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA)},
pages = {269--286},
title = {The Best-Fit Rule for Multibin Packing: An Extension of Graham's List Algorithms},
publisher = {Springer},
year = {2005},
editor = {G. Kendall and E. Burke and S. Petrovic and M. Gendreau},
author = {P. Lemaire and G. Finke and N. Brauner},
note = {Selected},
abstract = {In this paper, we deal with multibin packing problems. These problems are linked to multiprocessor-task scheduling as well as to bin packing problems: they consist of n objects to be packed into m bins, with each object requiring space in several bins. We propose an intuitive greedy approach (the best-fit rule), which extends the well-known list algorithms for multiprocessor scheduling, to solve the case when objects have fixed height and size. We prove that it provides a 2-approximation, and even a 4/3-approximation if the objects are sorted by non-increasing heights. Based on this method, a polynomial time approximation scheme (PTAS) will be developed.},
doi = {10.1007/0-387-27744-7_13},
owner = {gxk},
timestamp = {2012.05.29} }