群体智能中的追逃围捕问题综述

穆祯鑫; 潘杰; 周子烨; 喻俊志; 曹璐

doi:10.1631/FITEE.2200590

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群体智能中的追逃围捕问题综述

常规文章 | Updated：2023-08-29

- 群体智能中的追逃围捕问题综述
  Cover Article
- A survey of the pursuit–evasion problem in swarm intelligence
- 信息与电子工程前沿（英文） 2023年24卷第8期页码：1093-1116
- Affiliations：
  
  1.State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China
  2.National Innovation Institute of Defense Technology, Beijing 100071, China
- Author bio：
  
  ‡Corresponding authors
- Funds：
  
  National Natural Science Foundation of China(U1909206;T2121002;61903007;11972373)
- DOI：10.1631/FITEE.2200590
  中图分类号： O225
- 收稿：2022-11-23，
  
  录用：2023-04-24，
  
  纸质出版：2023-08-0
- Accepted：
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穆祯鑫, 潘杰, 周子烨, 等. 群体智能中的追逃围捕问题综述[J]. 信息与电子工程前沿（英文）, 2023,24(8):1093-1116.

Zhenxin MU, Jie PAN, Ziye ZHOU, et al. A survey of the pursuit–evasion problem in swarm intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(8): 1093-1116.
穆祯鑫, 潘杰, 周子烨, 等. 群体智能中的追逃围捕问题综述[J]. 信息与电子工程前沿（英文）, 2023,24(8):1093-1116. DOI： 10.1631/FITEE.2200590.

Zhenxin MU, Jie PAN, Ziye ZHOU, et al. A survey of the pursuit–evasion problem in swarm intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(8): 1093-1116. DOI： 10.1631/FITEE.2200590.

摘要

对于人工系统中涌现出的复杂功能，理解自然界中生物群体行为的内在机制至关重要。本文对生物集群中的一个关键问题—追逃围捕问题进行了全面的综述。首先，从博弈论、控制论与人工智能、生物启发3个不同视角对追逃围捕问题进行了回顾。然后，概述了生物系统和人工系统中追逃围捕问题研究进展，其中捕食者的追捕行为和猎物的逃避行为被概括为捕食者—猎物行为。之后，分别从强追捕者组vs.弱逃避者组、弱追捕者组vs.强逃避者组、相同能力组3个角度分析追逃围捕问题在人工系统中的应用。最后，讨论了未来追逃围捕问题面临的挑战和发展展望。本文为多智能体系统和多机器人系统在不确定动态场景下完成复杂狩猎任务的设计提供了新的见解。

Abstract

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.

关键词

Keywords

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