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作 者:Hua Wang Xing-Yu Guo Hao Tao Ming-Liang Xu
机构地区:[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
出 处:《Machine Intelligence Research》2024年第3期452-480,共29页机器智能研究(英文版)
基 金:supported and funded by National Natural Science Foundation of China(Nos.62072415 and 62036010);the National Key Research and Development Program of China(No.2021YFB3301504);the Natural Science Foundation of Henan Province,China(No.202300410496);the China Postdoctoral Science Foundation(No.2019MM662530);the Special Project for COVID-19 Prevention and Control Emergency Tackling of Henan Science and Technology Department,China(No.201100312000);the National Defense Basic Scientific Research,China(No.JCKY2020XXXB028);the Social Simulator(Zhengzhou)Major Science and Technology Infrastructure Construction Strategy Research,China(No.2021HENZDA03).
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
分 类 号:TP393.09[自动化与计算机技术—计算机应用技术]
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