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An efficient hybrid approach for resolving the aircraft routing and rescheduling problem

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  • Kammoun, Mohamed Ali
  • Rezg, Nidhal

Abstract

In this paper, we address the aircraft routing and rescheduling problem under airspace capacities uncertainty due to unplanned weather conditions, which occurs before the take-off of scheduled flights. For this problem, we propose a hybrid approach that is based on Time Petri Net (TPN) tool. Furthermore, as a second step, a genetic algorithm is introduced in which a possible solution for ARRP is represented by a new encoding. Additionally, we integrate a post-step, which verifies the feasibility of the flight plans based on an improved Time Reduced Ordered Binary Decision Diagrams (TROBDDs). The conducted experiments on a collection of instances show that the TROBDDs can represent a large number of rescheduling flights locations with compact structure and reduce computation time. In addition, the genetic algorithm illustrates a good compromise between the obtained solutions and computation times.

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  • Kammoun, Mohamed Ali & Rezg, Nidhal, 2018. "An efficient hybrid approach for resolving the aircraft routing and rescheduling problem," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 73-87.
    • Handle: RePEc:eee:jaitra:v:71:y:2018:i:c:p:73-87
    DOI: 10.1016/j.jairtraman.2018.06.005
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    Cited by:

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    2. Wen, Xin & Sun, Xuting & Ma, Hoi-Lam & Sun, Yige, 2022. "A column generation approach for operational flight scheduling and aircraft maintenance routing," Journal of Air Transport Management, Elsevier, vol. 105(C).
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    4. Vieira, Thiago & De La Vega, Jonathan & Tavares, Roberto & Munari, Pedro & Morabito, Reinaldo & Bastos, Yan & Ribas, Paulo César, 2021. "Exact and heuristic approaches to reschedule helicopter flights for personnel transportation in the oil industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).

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