Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization

C. Bouttier (), O. Babando (), S. Gadat (), S. Gerchinovitz (), S. Laporte () and F. Nicol ()
Additional contact information
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

A chapter in Operations Research Proceedings 2015, 2017, pp 569-574 from Springer

Abstract: 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).

Keywords: Forecast Error; International Civil Aviation Organization; Local Linear Regression; Error Field; Aircraft Performance (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-42902-1_77

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DOI: 10.1007/978-3-319-42902-1_77

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