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Multicriteria airport gate assignment and pareto simulated annealing

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  • Drexl, Andreas
  • Nikulin, Yury

Abstract

This paper addresses an airport gate assignment problem with multiple objectives. The objectives are to minimize the number of ungated flights and the total passenger walking distances or connection times as well as to maximize the total gate assignment preferences. The problem examined is an integer program with multiple objectives (one of them being quadratic) and quadratic constraints. Of course, such a problem is inherently difficult to solve. We tackle the problem by Pareto simulated annealing in order to get a representative approximation for the Pareto front. Results of computational experiments are presented as well. To the best of our knowledge, this is the first attempt to consider the airport gate assignment problem with multiple objectives.

Suggested Citation

  • Drexl, Andreas & Nikulin, Yury, 2005. "Multicriteria airport gate assignment and pareto simulated annealing," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 586, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    • Handle: RePEc:zbw:cauman:586
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    References listed on IDEAS

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    Cited by:

    1. Drexl, Andreas & Nikulin, Yuri, 2005. "Multicriteria time window-constrained project scheduling with applications to airport gate assignment. Part I: Methodology," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 595, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    2. Drexl, Andreas & Nikulin, Yury, 2006. "Fuzzy multicriteria flight gate assignment," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 605, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    3. Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre (Ed.), 2006. "Jahresbericht 2005," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 603, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

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