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Artificial Intelligence and Decision Making, 2022, Issue 1, Pages 57–70
DOI: https://doi.org/10.14357/20718594220106
(Mi iipr58)
 

Intelligent planning and control

Effective bounded-suboptimal algorithm of solving multi-agent pathfinding problem

A. Andreychuk

Peoples' Friendship University of Russia named after Patrice Lumumba, Moscow, Russia
Abstract: The paper considers the problem of finding a combination of collision-free trajectories for a set of agents capable of performing actions of arbitrary duration. To solve this problem, two boundedsuboptimal modifications of the continuous-time conflict-based search algorithm are proposed. The results of the carried out model experimental studies have demonstrated the high computational efficiency of the proposed modifications.
Keywords: path planning, pathfinding, grid, graph, multi-agent systems, MAPF.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Andreychuk, “Effective bounded-suboptimal algorithm of solving multi-agent pathfinding problem”, Artificial Intelligence and Decision Making, 2022, no. 1, 57–70
Citation in format AMSBIB
\Bibitem{And22}
\by A.~Andreychuk
\paper Effective bounded-suboptimal algorithm of solving multi-agent pathfinding problem
\jour Artificial Intelligence and Decision Making
\yr 2022
\issue 1
\pages 57--70
\mathnet{http://mi.mathnet.ru/iipr58}
\crossref{https://doi.org/10.14357/20718594220106}
\elib{https://elibrary.ru/item.asp?id=48140574}
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