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Multi-Agent Surveillance Based on Travel Cost Minimization

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/92469

Title: Multi-Agent Surveillance Based on Travel Cost Minimization
Authors: Murakata, Kyohei Browse this author
Kobayashi, Koichi Browse this author →KAKEN DB
Yamashita, Yuh Browse this author →KAKEN DB
Keywords: Chinese postman problem
mixed integer programming
surveil- lance problem
travel cost
Issue Date: 1-Jan-2024
Publisher: IEICE - Institute of the Electronics, Information and Communication Engineers
Journal Title: IEICE transactions on fundamentals of electronics communications and computer sciences
Volume: E107A
Issue: 1
Start Page: 25
End Page: 30
Publisher DOI: 10.1587/transfun.2023KEP0015
Abstract: The multi-agent surveillance problem is to find optimal trajectories of multiple agents that patrol a given area as evenly as possible. In this paper, we consider the multi-agent surveillance problem based on travel cost minimization. The surveillance area is given by an undirected graph. The penalty for each agent is introduced to evaluate the surveillance performance. Through a mixed logical dynamical system model, the multiagent surveillance problem is reduced to a mixed integer linear programming (MILP) problem. In model predictive control, trajectories of agents are generated by solving the MILP problem at each discrete time. Furthermore, a condition that the MILP problem is always feasible is derived based on the Chinese postman problem. Finally, the proposed method is demonstrated by a numerical example.
Rights: copyright©2024 IEICE
Type: article
URI: http://hdl.handle.net/2115/92469
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小林 孝一

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