Multi-Agent Pathfinding with n Agents on Graphs with n Vertices: Combinatorial Classification and Tight Algorithmic Bounds

Multi-Agent Pathfinding with n Agents on Graphs with n Vertices: Combinatorial Classification and Tight Algorithmic Bounds

Abstract

We investigate the multi-agent pathfinding (MAPF) problem with n agents on graphs with n vertices: Each agent has a unique start and goal vertex, with the objective of moving all agents in parallel movements to their goal s.t. each vertex and each edge may only be used by one agent at a time. We give a combinatorial classification of all graphs where this problem is solvable in general, including cases where the solvability depends on the initial agent placement. Furthermore, we present an algorithm solving the MAPF problem in our setting, requiring O(n2) rounds, or O(n3) moves of individual agents. Complementing these results, we show that there are graphs where Ω(n2) rounds and Ω(n3) moves are required for any algorithm.

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Authors
  • Foerster, Klaus-Tycho
  • Groner, Linus
  • Hoefler, Torsten
  • Koenig, Michael
  • Schmid, Sascha
  • Wattenhofer, Roger
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Supplemental Material
Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
10th International Conference on Algorithms and Complexity (CIAC 2017)
Divisions
Communication Technologies
Subjects
Theoretische Informatik
Event Location
Athens, Greece
Event Type
Conference
Event Dates
24-26 May 2017
Date
May 2017
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