Optimally Solving the Multiple Watchman Route Problem with Heuristic Search

Yaakov Livne, Dor Atzmon, Shawn Skyler, Eli Boyarski, Amir Shapiro, Ariel Felner

Research output: Contribution to journalConference articlepeer-review

Abstract

In the Watchman Route Problem (WRP), the task is to find a path for a watchman agent such that all locations in the given map will be visually seen by the watchman at least once during the path traversal. Recently, the problem has been optimally solved on a grid map using heuristic search. In this paper, we extend this work to the case of multiple agents. We call this problem the Multiple Watchman Route Problem (MWRP). In MWRP, the task is to find a path for each watchman such that each location on the map will be seen by at least one watchman. We optimally solve MWRP with heuristic search for two different objective functions with a number of A*-based variants, including an enhanced branching mechanism. We then provide an experimental study on these methods and on other attributes of this problem.

Original languageAmerican English
Pages (from-to)905-913
Number of pages9
JournalProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2023-May
StatePublished - 1 Jan 2023
Event22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 - London, United Kingdom
Duration: 29 May 20232 Jun 2023

Keywords

  • Heuristic Search
  • Multi-Agent
  • Watchman Route Problem

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

Cite this