首页> Scientific reports> Application of improved grey wolf model in collaborative trajectory optimization of unmanned aerial vehicle swarm.

Application of improved grey wolf model in collaborative trajectory optimization of unmanned aerial vehicle swarm.

导出 LinkOut

翻译打印收藏纠错

第一作者： Jiguang,Chen

第一单位： School of Electronics and Information, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China. jiguang_chen2022@163.com.;Collaborative Innovation Center of Aeronautics and Astronautics Electronic Information Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan Province, China. jiguang_chen2022@163.com.;Henan Key Laboratory of General Aviation Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China. jiguang_chen2022@163.com.

作者： Jiguang,Chen ^[1] ; Yu,Chen ^[2] ; Rong,Nie ^[3] ; Li,Liu ^[3] ; Jianqiang,Liu ^[2] ; Yuxin,Qin ^[2]

作者单位： School of Electronics and Information, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China. jiguang_chen2022@163.com.;Collaborative Innovation Center of Aeronautics and Astronautics Electronic Information Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan Province, China. jiguang_chen2022@163.com.;Henan Key Laboratory of General Aviation Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China. jiguang_chen2022@163.com. ^[1] School of Electronics and Information, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China.;Collaborative Innovation Center of Aeronautics and Astronautics Electronic Information Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan Province, China.;Henan Key Laboratory of General Aviation Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China. ^[2] Collaborative Innovation Center of Aeronautics and Astronautics Electronic Information Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan Province, China.;Henan Key Laboratory of General Aviation Technology, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China. ^[3]

关键词 Deep reinforcement learning Grey wolf algorithm Swarm intelligence optimization Track planning Unmanned aerial vehicle

DOI 10.1038/s41598-024-65383-9

PMID 39068161

发布时间 2024-07-30

基金项目