== Abstract ==

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International audience; 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. Thefirst 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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== Original document ==

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The different versions of the original document can be found in:

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* [https://hal-enac.archives-ouvertes.fr/hal-01291429 https://hal-enac.archives-ouvertes.fr/hal-01291429]

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* [http://www.springerlink.com/index/pdf/10.1007/3-540-30966-7_10 http://www.springerlink.com/index/pdf/10.1007/3-540-30966-7_10],

: [http://dx.doi.org/10.1007/3-540-30966-7_10 http://dx.doi.org/10.1007/3-540-30966-7_10]

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* [https://link.springer.com/chapter/10.1007/3-540-30966-7_10 https://link.springer.com/chapter/10.1007/3-540-30966-7_10],

: [https://hal-enac.archives-ouvertes.fr/hal-01291429 https://hal-enac.archives-ouvertes.fr/hal-01291429],

: [https://rd.springer.com/chapter/10.1007/3-540-30966-7_10 https://rd.springer.com/chapter/10.1007/3-540-30966-7_10],

: [https://academic.microsoft.com/#/detail/2236196505 https://academic.microsoft.com/#/detail/2236196505]

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DOIS: 10.1007/3-540-30966-7 10.1007/3-540-30966-7_10

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