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An algorithm for single- and multiple-runway aircraft landing problem

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  • Salehipour, Amir

Abstract

The aircraft landing problem (ALP) is the problem of allocating an airport’s runways to arriving aircraft as well as scheduling the landing time of aircraft, with the objective of minimizing the total deviation from the target landing times. We propose a simple heuristic to solve ALP. The distinguishing factor of the proposed algorithm includes decomposing the problem into a chain of smaller and easier-to-solve problems. We show that utilizing this strategy is very effective in solving the problem in a short time. Our work is motivated by the dynamic nature of the problem, i.e., due to the continuous changes in the number of arriving flights and a short window for determining the landing schedule, the air traffic controller needs to solve the problem on a regular basis and update the landing schedule, and fast and effective algorithms are therefore paramount. By solving two sets of 124 benchmark instances we demonstrate that we fulfill this aim and that the proposed algorithm obtains satisfactory solutions in a short amount of time.

Suggested Citation

  • Salehipour, Amir, 2020. "An algorithm for single- and multiple-runway aircraft landing problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 175(C), pages 179-191.
  • Handle: RePEc:eee:matcom:v:175:y:2020:i:c:p:179-191
    DOI: 10.1016/j.matcom.2019.10.006
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    References listed on IDEAS

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    1. L. Bianco & P. Dell'Olmo & S. Giordani, 1999. "Minimizing total completion time subject to release dates and sequence‐dependentprocessing times," Annals of Operations Research, Springer, vol. 86(0), pages 393-415, January.
    2. Ghoniem, Ahmed & Farhadi, Farbod & Reihaneh, Mohammad, 2015. "An accelerated branch-and-price algorithm for multiple-runway aircraft sequencing problems," European Journal of Operational Research, Elsevier, vol. 246(1), pages 34-43.
    3. Sabar, Nasser R. & Kendall, Graham, 2015. "An iterated local search with multiple perturbation operators and time varying perturbation strength for the aircraft landing problem," Omega, Elsevier, vol. 56(C), pages 88-98.
    4. Hamsa Balakrishnan & Bala G. Chandran, 2010. "Algorithms for Scheduling Runway Operations Under Constrained Position Shifting," Operations Research, INFORMS, vol. 58(6), pages 1650-1665, December.
    5. Vadlamani, Satish & Hosseini, Seyedmohsen, 2014. "A novel heuristic approach for solving aircraft landing problem with single runway," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 144-148.
    6. J. E. Beasley & M. Krishnamoorthy & Y. M. Sharaiha & D. Abramson, 2000. "Scheduling Aircraft Landings—The Static Case," Transportation Science, INFORMS, vol. 34(2), pages 180-197, May.
    7. Pinol, H. & Beasley, J.E., 2006. "Scatter Search and Bionomic Algorithms for the aircraft landing problem," European Journal of Operational Research, Elsevier, vol. 171(2), pages 439-462, June.
    8. Ahmed Ghoniem & Farbod Farhadi, 2015. "A column generation approach for aircraft sequencing problems: a computational study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(10), pages 1717-1729, October.
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