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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.
Citation:
A. Andreychuk, “Effective bounded-suboptimal algorithm of solving multi-agent pathfinding problem”, Artificial Intelligence and Decision Making, 2022, no. 1, 57–70
Linking options:
https://www.mathnet.ru/eng/iipr58 https://www.mathnet.ru/eng/iipr/y2022/i1/p57
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Statistics & downloads: |
Abstract page: | 31 | Full-text PDF : | 10 |
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