A greedy look-ahead heuristic for the container relocation problem

Bo Jin*, 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

    18 Citations (Scopus)

    Abstract

    This paper addresses a classic problem in the container storage and transportation, the container relocation problem. For a given layout of a container bay, the containers should be retrieved in a predefined order, the best operation plan with fewest crane operations is going to be determined. We develop a greedy look-ahead heuristic for this particular purpose. Comparing with existing approaches presented from literature, our heuristic provides better solutions than best known solutions in shorter computational time. © 2013 Springer-Verlag.
    Original languageEnglish
    Title of host publicationRecent Trends in Applied Artificial Intelligence
    Subtitle of host publication26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Proceedings
    PublisherSpringer Verlag
    Pages181-190
    Volume7906 LNAI
    ISBN (Print)9783642385766
    DOIs
    Publication statusPublished - Jun 2013
    Event26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013 - Amsterdam, Netherlands
    Duration: 17 Jun 201321 Jun 2013

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7906 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013
    PlaceNetherlands
    CityAmsterdam
    Period17/06/1321/06/13

    Research Keywords

    • Container Relocation Problem
    • Heuristics
    • Logistics
    • Transportation

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