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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2022 Issue 1, Pages 57–70 (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.

DOI: 10.14357/20718594220106



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