Ground vehicles cooperative task area allocation for survivability improvement

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Global Intelligence Industry Conference, GIIC 2018
编辑Yueguang Lv
出版商SPIE
ISBN(印刷版)9781510622999
DOI
出版状态已出版 - 2018
活动Global Intelligence Industry Conference, GIIC 2018 - Beijing, 中国
期限: 22 5月 201824 5月 2018

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
10835
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议Global Intelligence Industry Conference, GIIC 2018
国家/地区中国
Beijing
时期22/05/1824/05/18

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