Genetic Algorithms Applied to Air Traffic Management

Abstract : The constant increase in air traffic, since the beginning of the commercial aviation, has led to problems of saturation on airports, approaching areas, or higher airspace.Whereas the aircraft are largely optimized and automated, the air traffic control is still essentially relying on human experience. The present case study details two problems of air traffic management (ATM) for which a genetic algorithm based solution has been proposed. The first application deals with the en route conflict resolution problem. The second application deals with the traffic management problem in an airport platform.
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Metaheuristics for Hard Optimization Methods and Case Studies, Chapter 9, Springer, pp 277-306, 2006, 978-3-540-23022-9. 〈10.1007/3-540-30966-7〉. 〈http://link.springer.com/chapter/10.1007/3-540-30966-7_10〉
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Contributeur : Laurence Porte <>
Soumis le : lundi 21 mars 2016 - 14:43:22
Dernière modification le : vendredi 19 mai 2017 - 09:09:15

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Nicolas Durand, Jean-Baptiste Gotteland. Genetic Algorithms Applied to Air Traffic Management. Metaheuristics for Hard Optimization Methods and Case Studies, Chapter 9, Springer, pp 277-306, 2006, 978-3-540-23022-9. 〈10.1007/3-540-30966-7〉. 〈http://link.springer.com/chapter/10.1007/3-540-30966-7_10〉. 〈hal-01291429〉

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