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).
Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization
01.01.2017
6 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
International Civil Aviation Organization , Aircraft Performance , Error Field , Forecast Error , Local Linear Regression Operations Management , Business and Management , Operations Research, Management Science , Game Theory, Economics, Social and Behav. Sciences , Operations Research/Decision Theory , Engineering Economics, Organization, Logistics, Marketing
Adaptive Simulated Annealing with Homogenization for Aircraft Trajectory Optimization
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