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A Hybrid Column Generation and Constraint Programming Optimizer for the Tail Assignment Problem

  • Conference paper
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3990))

Abstract

Tail Assignment is the problem of assigning flight legs to aircraft while satisfying all operational constraints, and optimizing some objective function. In this article, we present a hybrid column generation and constraint programming solution approach. This approach can be used to quickly produce solutions for operations management, and also to produce close-to-optimal solutions for long and mid term planning scenarios. We present computational results which illustrate the practical usefulness of the approach.

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Author information

Authors and Affiliations

  1. Carmen Systems AB, Odinsgatan 9, S-411 03, Göteborg, Sweden

    Sami Gabteni & Mattias Grönkvist

  2. Department of Computer Science and Engineering, Chalmers University of Technology, Eklandagatan 86, S-412 96, Göteborg, Sweden

    Mattias Grönkvist

Authors
  1. Sami Gabteni
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  2. Mattias Grönkvist
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Toronto, Canada

    J. Christopher Beck

  2. School of Computing, University of Leeds, U.K.

    Barbara M. Smith

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© 2006 Springer-Verlag Berlin Heidelberg

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Gabteni, S., Grönkvist, M. (2006). A Hybrid Column Generation and Constraint Programming Optimizer for the Tail Assignment Problem. In: Beck, J.C., Smith, B.M. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2006. Lecture Notes in Computer Science, vol 3990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11757375_9

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  • DOI: https://doi.org/10.1007/11757375_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34306-6

  • Online ISBN: 978-3-540-34307-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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