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Genetic algorithms for partitioning air space

Daniel Delahaye 1 Jean-Marc Alliot 2 Marc Schoenauer 3 Jean-Loup Farges 4
1 DGAC - Direction Générale de l'Aviation Civile
2 ENAC - Ecole Nationale de l'Aviation Civile
3 CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique
4 ONERA - The French Aerospace Lab [Toulouse]
Abstract : In this paper, we show how genetic algorithms can be used to compute automatically a balanced sectoring of air-space to increase air traffic control capacity in high density areas.
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https://hal-enac.archives-ouvertes.fr/hal-01018489
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Submitted on : Friday, July 4, 2014 - 12:37:56 PM
Last modification on : Tuesday, March 16, 2021 - 3:44:16 PM
Long-term archiving on: : Saturday, October 4, 2014 - 11:16:09 AM

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ONERA | MAIAA-OPTIM | ENAC | CNRS | INSMI | X-CMAP | X | CMAP | TDS-MACS | DGAC | X-DEP-MATHA

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Daniel Delahaye, Jean-Marc Alliot, Marc Schoenauer, Jean-Loup Farges. Genetic algorithms for partitioning air space. AI 1994, 10th Conference on Artificiel Intelligence for Applications, Mar 1994, San Antonia, United States. pp 291-297, ⟨10.1109/CAIA.1994.323662⟩. ⟨hal-01018489⟩

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