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2023, Volume 24, Issue 8

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Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 8 doi: 10.1631/FITEE.2200590

A survey of the pursuit–evasion problem in swarm intelligence

Affiliation(s): State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing 100871, China; National Innovation Institute of Defense Technology, Beijing 100071, China; less

Received: 2022-11-23 Accepted: 2023-08-29 Available online: 2023-08-29
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Abstract

For complex functions to emerge in , it is important to understand the intrinsic mechanisms of biological s in nature. In this paper, we present a comprehensive survey of ;, which is a critical problem in biological groups. First, we review the problem of ; from three different perspectives: game theory, control theory and artificial intelligence, and bio-inspired perspectives. Then we provide an overview of the research on ; problems in biological systems and . We summarize predator pursuit behavior and prey behavior as predator–prey behavior. Next, we analyze the application of ; in 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 ; 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.

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