Ground vehicles cooperative task area allocation for survivability improvement

Yong Zhu; Shengyin Wang; Teng Long; Zhu Wang; Guangtong Xu

doi:10.1117/12.2504547

31 August 2018 Ground vehicles cooperative task area allocation for survivability improvement

Yong Zhu, Shengyin Wang, Teng Long, Zhu Wang, Guangtong Xu

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 1083516 (2018) https://doi.org/10.1117/12.2504547
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

Abstract

To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a survivability planning modeling method and a cooperative task area allocation method based on genetic algorithm were proposed. Firstly, the problem of task area allocation for multiple ground vehicles is depicted and a framework to solve the problem is established. Then satellite reconnaissance model and cooperative task area allocation model are established. And a customized genetic algorithm is adopted to perform cooperative task area allocation to minimize the total mission time and the exposure time under the reconnaissance of satellites. In addition, a survivability assessment framework is established to evaluate the survival status of ground vehicles. Finally, simulation results show that the proposed method can improve the overall survivability of multiple ground vehicles effectively.

Citation Download Citation

Yong Zhu, Shengyin Wang, Teng Long, Zhu Wang, and Guangtong Xu "Ground vehicles cooperative task area allocation for survivability improvement", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083516 (31 August 2018); https://doi.org/10.1117/12.2504547

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