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Genetic algorithms for solving the aircraft-sequencing problem: the introduction of departures into the dynamic model

Author

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  • Caprı̀, Salvatore
  • Ignaccolo, Matteo

Abstract

The aircraft-sequencing problem is a well-known operations research problem. It is concerned with defining optimal strategies for the sequencing of arriving flights at an airport to optimize as part of the management of traffic flow during the final flight phase. The model here introduces departing flights into the aircraft sequence, sets up a dynamic model to take account of time-varying variables, and builds a specific genetic algorithm to solve the aircraft-sequencing problem.

Suggested Citation

  • Caprı̀, Salvatore & Ignaccolo, Matteo, 2004. "Genetic algorithms for solving the aircraft-sequencing problem: the introduction of departures into the dynamic model," Journal of Air Transport Management, Elsevier, vol. 10(5), pages 345-351.
    • Handle: RePEc:eee:jaitra:v:10:y:2004:i:5:p:345-351
    DOI: 10.1016/j.jairtraman.2004.05.004
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    Citations

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    Cited by:

    1. Julia Bennell & Mohammad Mesgarpour & Chris Potts, 2013. "Airport runway scheduling," Annals of Operations Research, Springer, vol. 204(1), pages 249-270, April.
    2. Anna Kwasiborska & Jacek Skorupski, 2021. "Assessment of the Method of Merging Landing Aircraft Streams in the Context of Fuel Consumption in the Airspace," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    3. Marie-Sklaerder Vié & Nicolas Zufferey & Roel Leus, 2022. "Aircraft landing planning under uncertain conditions," Journal of Scheduling, Springer, vol. 25(2), pages 203-228, April.
    4. Ng, K.K.H. & Lee, C.K.M. & Chan, Felix T.S. & Qin, Yichen, 2017. "Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 115-136.
    5. Konstantinos G. Zografos & Michael A. Madas & Konstantinos N. Androutsopoulos, 2017. "Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs," Journal of Scheduling, Springer, vol. 20(1), pages 3-24, February.
    6. Hancerliogullari, Gulsah & Rabadi, Ghaith & Al-Salem, Ameer H. & Kharbeche, Mohamed, 2013. "Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 39-48.

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