Collective Movement Simulation: Methods and Applications

doi:10.1007/s11633-022-1405-5

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Collective Movement Simulation: Methods and Applications
	Hua Wang 1,2,3; Xing-Yu Guo 1; Hao Tao 4; Ming-Liang Xu 1,2,3
发表期刊	Machine Intelligence Research
ISSN	2731-538X
	2024
卷号	21 期号:3 页码:452-480
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.
关键词	Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence
DOI	10.1007/s11633-022-1405-5
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56476
专题	学术期刊_Machine Intelligence Research
作者单位	1.School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China 2.Engineering Research Center of Intelligent Swarm Systems, Ministry of Education, Zhengzhou 450001, China 3.National Supercomputing Center in Zhengzhou, Zhengzhou 450001, China 4.China Ship Development and Design Center, Wuhan 430060, 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.

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