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

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.

[1]  Zhongzhi Li,et al.  Research on Maritime Rescue UAV Based on Beidou CNSS and Extended Square Search Algorithm , 2020, 2020 International Conference on Communications, Information System and Computer Engineering (CISCE).

[2]  Tao Wu,et al.  Multi-UAV counter-game model based on uncertain information , 2020, Appl. Math. Comput..

[3]  Zhongzhi Li,et al.  Series Arc Fault Detection of Indoor Power Distribution System Based on LVQ-NN and PSO-SVM , 2019, IEEE Access.

[4]  Andranik S. Akopov,et al.  Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation , 2019, Knowl. Based Syst..

[5]  Jiankai Zuo,et al.  A Multi-Agent Collaborative Work Planning Strategy Based on AFSA-PSO Algorithm , 2019, 2019 International Conference on Robots & Intelligent System (ICRIS).

[6]  Crina Grosan,et al.  Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[7]  Hao Shi,et al.  A complex network-based importance measure for mechatronics systems , 2017 .

[8]  Randall Davis.  Knowledge-Based Systems , 1986, Science.

[9]  Yongqing Wang,et al.  Deep Reinforcement Learning With Application to Air Confrontation Intelligent Decision-Making of Manned/Unmanned Aerial Vehicle Cooperative System , 2020, IEEE Access.

[10]  Guoqing Shi,et al.  Maneuver Decision of UAV in Short-Range Air Combat Based on Deep Reinforcement Learning , 2020, IEEE Access.

[11]  Qirui Zhang,et al.  Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain , 2020, IEEE Access.