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A heuristic for the multiple container loading cost minimization problem

  • Chan Hou Che
  • , Weili Huang
  • , Andrew Lim
  • , Wenbin Zhu*
  • *Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    We examine the multiple container loading cost minimization problem (MCLCMP), where the objective is to load products of various types into containers of various sizes so as to minimize the total container cost. We transform the MCLCMP into an extended set cover problem that is formulated using linear integer programming and solve it with a heuristic to generate columns. Experiments on standard bin-packing instances show our approach is superior to prior approaches. © 2011 Springer-Verlag.
    Original languageEnglish
    Title of host publicationModern Approaches in Applied Intelligence
    Subtitle of host publication24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Proceedings
    PublisherSpringer Verlag
    Pages276-285
    Volume6704 LNAI
    EditionPART 2
    ISBN (Print)9783642218262
    DOIs
    Publication statusPublished - 2011
    Event24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011 - Syracuse, NY, United States
    Duration: 28 Jun 20111 Jul 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6704 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011
    PlaceUnited States
    CitySyracuse, NY
    Period28/06/111/07/11

    Research Keywords

    • Container Loading
    • Heuristics
    • Integer Programming
    • Packing

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