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Junzhi YU




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Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.8 P.1093-1116


A survey of the pursuit–evasion problem in swarm intelligence

Author(s):  Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO

Affiliation(s):  State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China; more

Corresponding email(s):   junzhi.yu@ia.ac.cn, yujunzhi@pku.edu.cn, caolu_space2015@163.com

Key Words:  Swarm behavior, Pursuit–, evasion, Artificial systems, Biological model, Collective motion

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Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO. A survey of the pursuit–evasion problem in swarm intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(8): 1093-1116.

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A1 - Zhenxin MU
A1 - Jie PAN
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A1 - Junzhi YU
A1 - Lu CAO
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200590

For complex functions to emerge in artificial systems, it is important to understand the intrinsic mechanisms of biological swarm behaviors in nature. In this paper, we present a comprehensive survey of pursuit–;evasion, which is a critical problem in biological groups. First, we review the problem of pursuit–;evasion from three different perspectives: game theory, control theory and artificial intelligence, and bio-inspired perspectives. Then we provide an overview of the research on pursuit–;evasion problems in biological systems and artificial systems. We summarize predator pursuit behavior and prey evasion behavior as predator–prey behavior. Next, we analyze the application of pursuit–;evasion in artificial systems from three perspectives, i.e., strong pursuer group vs. weak evader group, weak pursuer group vs. strong evader group, and equal-ability group. Finally, relevant prospects for future pursuit–;evasion challenges are discussed. This survey provides new insights into the design of multi-agent and multi-robot systems to complete complex hunting tasks in uncertain dynamic scenarios.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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