Propagating the bin packing constraint using linear programming

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

The state-of-the-art global constraint for bin packing is due to Shaw. We compare two linear continuous relaxations of the bin packing problem, based on the DP-flow and Arc-flow models, with the filtering of the bin packing constraint. Our experiments show that we often obtain significant improvements in runtime. The DP-flow model is a novel formulation of the problem.

Original languageEnglish
Title of host publicationPrinciples and Practice of Constraint Programming, CP 2010 - 16th International Conference, Proceedings
PublisherSpringer Verlag
Pages129-136
Number of pages8
ISBN (Print)364215395X, 9783642153952
DOIs
Publication statusPublished - 2010
Event16th International Conference on Principles and Practice of Constraint Programming, CP 2010 - St. Andrews, United Kingdom
Duration: 6 Sep 201010 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6308 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Principles and Practice of Constraint Programming, CP 2010
Country/TerritoryUnited Kingdom
CitySt. Andrews
Period6/09/1010/09/10

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