Multi-Agent Path Finding with Deadlines: Preliminary Results

Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig

Research output: Working paper/PreprintPreprint

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Abstract

We formalize the problem of multi-agent path finding with deadlines (MAPF-DL). The objective is to maximize the number of agents that can reach their given goal vertices from their given start vertices within a given deadline, without colliding with each other. We first show that the MAPF-DL problem is NP-hard to solve optimally. We then present an optimal MAPF-DL algorithm based on a reduction of the MAPF-DL problem to a flow problem and a subsequent compact integer linear programming formulation of the resulting reduced abstracted multi-commodity flow network.
Original languageEnglish
StatePublished - 1 May 2018

Publication series

NamearXiv preprint

Keywords

  • Computer Science - Artificial Intelligence
  • Computer Science - Multiagent Systems

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