Swarming UAVs mission design strategy

Kuo-Chi Lin

doi:10.1117/12.724854

2 May 2007 Swarming UAVs mission design strategy

Kuo-Chi Lin

Proceedings Volume 6563, Evolutionary and Bio-inspired Computation: Theory and Applications; 65630C (2007) https://doi.org/10.1117/12.724854
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

This paper uses a behavioral hierarchy approach to reduce the mission solution space and make the mission design easier. A UAV behavioral hierarchy is suggested, which is derived from three levels of behaviors: basic, individual and group. The individual UAV behavior is a combination of basic, lower level swarming behaviors with priorities. Mission design can be simplified by picking the right combination of individual swarming behaviors, which will emerge the needed group behaviors. Genetic Algorithm is used in both lower-level basic behavior design and mission design.

Citation Download Citation

Kuo-Chi Lin "Swarming UAVs mission design strategy", Proc. SPIE 6563, Evolutionary and Bio-inspired Computation: Theory and Applications, 65630C (2 May 2007); https://doi.org/10.1117/12.724854

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