Naval Aviation Flight Academy

Huludao, China

Naval Aviation Flight Academy

Huludao, China
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Pan C.,Yantai Naval Aeronautical and Astronautical University | Ye W.,Yantai Naval Aeronautical and Astronautical University | Chen J.,Yantai Naval Aeronautical and Astronautical University | Guo J.,Naval Aviation Flight Academy
Proceedings of the World Congress on Intelligent Control and Automation (WCICA) | Year: 2010

Based on analyzing the characteristics of the co-evolutionary theory, the cooperative performance of co-evolutionary algorithm realized airspace cooperation for multi-UCAV cooperation path planning problem. While constraining the UCAV to arrive at the target simultaneously, a decomposition strategy was proposed, and the application of the coordination variable and coordination function approach was applied to multi-UCAV cooperation path planning problem. The simulation results show that the method could solve multi-UCAV cooperation path planning problem effectively. © 2010 IEEE.

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