Conference papers
Collision avoidance using neural networks learned by genetic algorithms
Abstract : As Air Traffic keeps increasing, many research programs focus on collision avoidance techniques. In this paper, a neural netwok learned by genetic algorithm is introduced to solve conflicts between two aircrafts. The learned NN is then tested on different conflicts and compared to the optimal solution. Results are very promising.
Cited literature [9 references]
https://hal-enac.archives-ouvertes.fr/hal-00937688
Contributor : Laurence Porte <>
Submitted on : Friday, April 25, 2014 - 4:07:59 PM
Last modification on : Tuesday, February 11, 2020 - 2:00:11 PM
Document(s) archivé(s) le : Friday, July 25, 2014 - 10:41:19 AM
Contributor : Laurence Porte <>
Submitted on : Friday, April 25, 2014 - 4:07:59 PM
Last modification on : Tuesday, February 11, 2020 - 2:00:11 PM
Document(s) archivé(s) le : Friday, July 25, 2014 - 10:41:19 AM
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