Automatic aircraft conflict resolution using Genetic Algorithms

In this paper, we show how genetic algorithms can be used to solve en-route aircraft conflict automatically to increase Air Traffic Control capacity in high density areas. The ATC _ background and the model are presented. The complexity of the problem is then discussed. The author then justifies the choice of GAs. After a brief description of genetic algorithms, the author describes the improvements that were used for solving the conflict resolution problem. Several numerical applications are then given justifying the choices that were made and illustrating the interest of the research. Next steps of this work are discussed in the conclusion.

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Source SAC 1996, 11th Annual ACM Symposium on Applied Computing
Author Durand, Nicolas, Alliot, Jean-Marc, Noailles, Joseph
Maintainer CCSD
Last Updated May 7, 2026, 05:13 (UTC)
Created May 7, 2026, 05:13 (UTC)
Identifier hal-00937685
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Ecole Nationale de l'Aviation Civile (ENAC)
coverage Philadelphia, United States
creator Durand, Nicolas
date 1996-02-17T00:00:00
harvest_object_id 82295bb7-152c-41b0-8956-5a5db43bf4d4
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-23T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1145/331119.331195
set_spec type:COMM