A Multi-agent Cluster Cooperative Confrontation Method Based on Swarm Intelligence Optimization

Zuo，Jiankai1; Liu，Zeyuan2; Chen，Jiatong2,3; Li，Zhengsheng2; Li，Chen2

10.1109/ICBAIE52039.2021.9390057

2021-03-26

978-1-6654-4706-5

2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ICBAIE 2021

668-672

26-28 March 2021

Nanchang, China

In recent years, with the third wave of development of artificial intelligence (AI), multi-agent system has become a hot topic in the field of distributed AI. As an important form of intelligent operation, multi-intelligence UAV cluster operation is emerging. This paper establishes a 'Red vs Blue Multi-UAVs Cooperative Confrontation Strategy' (RB-MCCS). According to the red and blue UAV penetration and interception problems, this paper designs the UAV breakout cost and the optimal strategy optimization models. Furthermore, a swarm intelligence optimization method is introduced to solve the model.

Improved grey wolf optimizer Multi-agent Swarm confrontation UAV formation

其他

英语

EI

20211710245544

Big data ; Internet of things ; Multi agent systems ; Swarm intelligence ; Unmanned aerial vehicles (UAV)

Aircraft, General:652.1 ; Computer Software, Data Handling and Applications:723 ; Data Processing and Image Processing:723.2

2-s2.0-85104479606

Scopus

1.Tongji University,Department of Computer Science and Technology,Shanghai,201804,China
2.Shenyang Aerospace University,Shenyang,110136,China
3.Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen,518055,China

Zuo，Jiankai,Liu，Zeyuan,Chen，Jiatong,et al. A Multi-agent Cluster Cooperative Confrontation Method Based on Swarm Intelligence Optimization[C],2021:668-672.