中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Collective Movement Simulation: Methods and Applications

文献类型:期刊论文

作者Hua Wang1,2,4; Xing-Yu Guo4; Hao Tao3; Ming-Liang Xu1,2,4
刊名Machine Intelligence Research
出版日期2024
卷号21期号:3页码:452-480
关键词Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence
ISSN号2731-538X
DOI10.1007/s11633-022-1405-5
英文摘要Collective movement simulations are challenging and important in many areas, including life science, mathematics, physics, information science and public safety. In this survey, we provide a comprehensive review of the state-of-the-art techniques for collective movement simulations. We start with a discussion on certain concepts to help beginners understand it more systematically. Then, we analyze the intelligence among different collective objects and the emphasis in different fields. Next, we classify existing collective movement simulation methods into four categories according to their effects, namely versatility, accuracy, dynamic adaptability, and assessment feedback capability. Furthermore, we introduce five applications of layout optimization, emergency control, dispatching, unmanned systems, and other derivative applications. Finally, we summarize possible future research directions.
源URL[http://ir.ia.ac.cn/handle/173211/56476]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.National Supercomputing Center in Zhengzhou, Zhengzhou 450001, China
2.Engineering Research Center of Intelligent Swarm Systems, Ministry of Education, Zhengzhou 450001, China
3.China Ship Development and Design Center, Wuhan 430060, China
4.School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China
推荐引用方式
GB/T 7714
Hua Wang,Xing-Yu Guo,Hao Tao,et al. Collective Movement Simulation: Methods and Applications[J]. Machine Intelligence Research,2024,21(3):452-480.
APA Hua Wang,Xing-Yu Guo,Hao Tao,&Ming-Liang Xu.(2024).Collective Movement Simulation: Methods and Applications.Machine Intelligence Research,21(3),452-480.
MLA Hua Wang,et al."Collective Movement Simulation: Methods and Applications".Machine Intelligence Research 21.3(2024):452-480.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。