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A Tabu Search Algorithm for the Multiple Runway Aircraft Scheduling Problem

In: Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Author

Listed:
  • Bulent Soykan

    (Old Dominion University)

  • Ghaith Rabadi

    (Old Dominion University)

Abstract

Runways are typically identified as the primary bottleneck of the airport operations system that causes delays. Hence, operational efficiency of runways constitutes a critical factor for the overall air transportation system. Multiple Runway Aircraft Scheduling Problem involves assigning both landing and taking-off aircraft to runways, sequencing them on each runway and assigning each aircraft a landing or take-off time while considering predetermined time windows for each aircraft to land or take-off. Also, sequence-dependent separation times between each aircraft pair in the sequence need to be taken into account in order to avoid wake vortex (turbulence) effects which can pose a hazard caused by preceding aircraft. Several variations of this combinatorial optimization problem are researched extensively in the past decades and a wide variety of algorithms have been proposed for small-scale problems. However, from a practical point of view large-scale real-life problems require fast response times and remain challenging computationally. This chapter aims to present a Tabu Search (TS) algorithm for the static (offline) case of the problem, where all information of aircraft is known in advance. Also, computational results for the proposed algorithm are presented for a number of benchmark instances obtained from literature.

Suggested Citation

  • Bulent Soykan & Ghaith Rabadi, 2016. "A Tabu Search Algorithm for the Multiple Runway Aircraft Scheduling Problem," International Series in Operations Research & Management Science, in: Ghaith Rabadi (ed.), Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling, edition 1, chapter 0, pages 165-186, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-26024-2_9
    DOI: 10.1007/978-3-319-26024-2_9
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    Cited by:

    1. Dönmez, Kadir & Çetek, Cem & Kaya, Onur, 2022. "Air traffic management in parallel-point merge systems under wind uncertainties," Journal of Air Transport Management, Elsevier, vol. 104(C).

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