Metaheuristics for Air Traffic Management

Abstract : Air Traffic Management involves many different services such as Airspace Management, Air Traffic Flow Management and Air Traffic Control. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties. Metaheuristics are often good candidates to solve these problems. The book models various complex Air Traffic Management problems such as airport taxiing, departure slot allocation, en route conflict resolution, airspace and route design. The authors detail the operational context and state of art for each problem. They introduce different approaches using metaheuristics to solve these problems and when possible, compare their performances to existing approaches
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https://hal-enac.archives-ouvertes.fr/hal-01278359
Contributor : Laurence Porte <>
Submitted on : Wednesday, February 24, 2016 - 10:27:48 AM
Last modification on : Monday, April 29, 2019 - 4:08:26 PM

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Nicolas Durand, David Gianazza, Jean-Baptiste Gotteland, Jean-Marc Alliot. Metaheuristics for Air Traffic Management. ISTE/Wiley, 2015, 9781848218109. ⟨10.1002/9781119261513.ch1 ⟩. ⟨hal-01278359⟩

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