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אקדמי בכיר

Scalable Algorithms with Provable Optimality Bounds for the Multiple Watchman Route Problem

Srikar Gouru, Ariel Felner, Jiaoyang Li

In this paper, we tackle the Multiple Watchman Route Problem (MWRP), which aims to find a set of paths that M watchmen can follow such that every location on the map can be seen by at least one watchman. First, we propose multiple methods to reduce the state space over which a search needs to be conducted by pruning map areas that are guaranteed to be seen en route to other areas. Next, we introduce MWRP-CP3, an efficient optimal planner that combines these methods with techniques that improve the quality and calculation time of existing heuristics. We present several suboptimal algorithms with bounds on solution quality, including MxWA*, a general variant of weighted A* for makespan problems. We also present anytime variations of our suboptimal algorithms, as well as techniques to improve an existing suboptimal solution by solving multiple decomposed sub-problems. We show that MWRP-CP3 can reduce the search space by more than 95% and runs more than 200× faster than existing optimal algorithms on 2D grid maps. We also show that our suboptimal algorithms solve maps 3× larger than those solvable by MWRP-CP3 . See mwrp-cp3.github.io for the open source codebase and video demonstrations.

שפת פרסום אנגלית
דפים 95-103
סטטוס פרסום פורסם - 01.01.2026

ASJC Scopus subject areas

Computer Science Applications
Information Systems and Management
Artificial Intelligence
גישה למסמך
10.1609/icaps.v36i1.42818
קבצים וקישורים אחרים
Link to publication in Scopus