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Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization

In: Operations Research Proceedings 2015

Author

Listed:
  • C. Bouttier

    (Airbus Operations SAS)

  • O. Babando

    (Airbus Operations SAS)

  • S. Gadat

    (TSE, Toulouse School of Economics)

  • S. Gerchinovitz

    (Université Toulouse III)

  • S. Laporte

    (Airbus Operations SAS)

  • F. Nicol

    (ENAC)

Abstract

In air traffic management, most optimization procedures are commonly based on deterministic modeling and do not take into account the uncertainties on environmental conditions (e.g., wind) and on air traffic control operations. However, aircraft performances in a real-world context are highly sensitive to these uncertainties. The aim of this work is twofold. First, we provide some numerical evidence of the sensitivity of fuel consumption and flight duration with respect to random fluctuations of the wind and the air traffic control operations. Second, we develop a global stochastic optimization procedure for general aircraft performance criteria. Since we consider general (black-box) cost functions, we develop a derivative-free optimization procedure: noisy simulated annealing (NSA).

Suggested Citation

  • C. Bouttier & O. Babando & S. Gadat & S. Gerchinovitz & S. Laporte & F. Nicol, 2017. "Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 569-574, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_77
    DOI: 10.1007/978-3-319-42902-1_77
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    Cited by:

    1. Lifang Zeng & Jianxin Hu & Dingyi Pan & Xueming Shao, 2020. "Automated Design Optimization of a Mono Tiltrotor in Hovering and Cruising States," Energies, MDPI, vol. 13(5), pages 1-20, March.
    2. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.

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