Multi-UAV Cooperative Mission Planning Based on Improved Artificial Bee Colony Algorithm
[1]Liu Guangrui,Wang Qinghai,Yao Dongyan.Multi-UAV Cooperative Mission Planning Based on Improved Artificial Bee Colony Algorithm[J].Journal of Zhengzhou University (Engineering Science),2018,39(03):51-55.[doi:10.13705/j.issn.1671-6833.2017.06.026]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 03
Page number:
51-55
Column:
Public date:
2018-05-10
- Title:
- Multi-UAV Cooperative Mission Planning Based on Improved Artificial Bee Colony Algorithm
- Keywords:
- unmanned aerial vehicle; scoordination; mission planning; dynamic evaluation selection strategy; artificial bee colony(ABC) algorithm
- CLC:
- -
- Abstract:
- Multi-UAV cooperative mission planning was the key to multi-UAV cooperative combat. UAVs could share information with others and tackle tasks, which make it difficult to plan mission. In this paper, considering threat distribution, task sequence restriction and time of endurance, a mission planning mathematical model of multi-UAV cooperative mission planning was developed. To increase mission planning efficiency, limitations of traditional ABC algorithm were improved by introduction of dynamic evaluation selection strategy, introduction of metropolis rule , etc. The correctness and effectiveness of proposed method were validated by the calculation and analysis for multi-UAV cooperative missionplanning.
- References:
- -
- Similar References:
Memo
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Last Update:
2018-05-03
