Cooperative target assignment for unmanned combat aerial vehicles based on Bayesian optimization algorithm with decision graphs

Lu Cao, An Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

In order to solve target assignment problems for unmanned combat aerial vehicles (UCAVs) during the process of UCAVs cooperative control, a cooperative target assignment methodology based on the Bayesian optimization algorithm with decision graphs (DBOA) is put forward. Firstly, considering enemies, ourselves and internal conflicts of UCAVs, a cooperative target assignment mathematical model is established. Then, avoiding trapping in local optimal solutions, the Bayesian network is constructing to guide and optimize evolution capabilities of the population. Finally, the simulation results show that the Bayesian optimization algorithm with decision graphs has a rapid convergence speed and can obtain the optimal solution. The results also demonstrate that the assignment methodology above owns a good time efficiency and assignment effect.

源语言英语
主期刊名Proceedings - 2013 9th International Conference on Natural Computation, ICNC 2013
出版商IEEE Computer Society
439-443
页数5
ISBN(印刷版)9781467347143
DOI
出版状态已出版 - 2013
活动2013 9th International Conference on Natural Computation, ICNC 2013 - Shenyang, 中国
期限: 23 7月 201325 7月 2013

出版系列

姓名Proceedings - International Conference on Natural Computation
ISSN(印刷版)2157-9555

会议

会议2013 9th International Conference on Natural Computation, ICNC 2013
国家/地区中国
Shenyang
时期23/07/1325/07/13

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