@inproceedings{37f1b2406cf34749a2f811fced94c6ce,
title = "Ground vehicles cooperative task area allocation for survivability improvement",
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.",
keywords = "Ground vehicles, cooperative task area allocation, customized genetic algorithm, survivability",
author = "Yong Zhu and Shengyin Wang and Teng Long and Zhu Wang and Guangtong Xu",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Global Intelligence Industry Conference, GIIC 2018 ; Conference date: 22-05-2018 Through 24-05-2018",
year = "2018",
doi = "10.1117/12.2504547",
language = "English",
isbn = "9781510622999",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yueguang Lv",
booktitle = "Global Intelligence Industry Conference, GIIC 2018",
address = "United States",
}