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Communication Dans Un Congrès Année : 1996

Collision avoidance using neural networks learned by genetic algorithms

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Résumé

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.
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Dates et versions

hal-00937688 , version 1 (25-04-2014)

Identifiants

  • HAL Id : hal-00937688 , version 1

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Nicolas Durand, Jean-Marc Alliot, Joseph Noailles. Collision avoidance using neural networks learned by genetic algorithms. IEA-AEI 1996, 9th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert systems, Jun 1996, Nagoya, Japan. pp xxxx. ⟨hal-00937688⟩
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