@inproceedings{b7ec9fbf02d2445485a69b77898e2e07,
title = "Multi-agent path finding with deadlines",
abstract = "We formalize 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 the deadline, without colliding with each other. We first show that MAPF-DL is NP-hard to solve optimally. We then present two classes of optimal algorithms, one based on a reduction of MAPF-DL to a flow problem and a subsequent compact integer linear programming formulation of the resulting reduced abstracted multi-commodity flow network and the other one based on novel combinatorial search algorithms. Our empirical results demonstrate that these MAPF-DL solvers scale well and each one dominates the other ones in different scenarios.",
author = "Hang Ma and Glenn Wagner and Ariel Felner and Jiaoyang Li and \{Satish Kumar\}, \{T. K.\} and Sven Koenig",
note = "Publisher Copyright: {\textcopyright} 2018 International Joint Conferences on Artificial Intelligence. All right reserved.; 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 ; Conference date: 13-07-2018 Through 19-07-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.24963/ijcai.2018/58",
language = "American English",
series = "IJCAI International Joint Conference on Artificial Intelligence",
pages = "417--423",
editor = "Jerome Lang",
booktitle = "Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018",
}