资源论文The Increasing Cost Tree Search for Optimal Multi-Agent Path?nding Guni Sharon Roni Stern Meir Goldenberg Ariel Felner

The Increasing Cost Tree Search for Optimal Multi-Agent Path?nding Guni Sharon Roni Stern Meir Goldenberg Ariel Felner

2019-11-12 | |  46 |   33 |   0
Abstract We address the problem of optimal path ?nding for multiple agents where agents must not collide and their total travel cost should be minimized. Previous work used traditional single-agent search variants of the A* algorithm. We present a novel formalization for this problem which includes a search tree called the increasing cost tree (ICT) and a corresponding search algorithm that ?nds optimal solutions. We analyze this new formalization and compare it to the previous state-of-the-ar A*-based approach. Experimental results on various domains show the bene?ts and drawbacks of this approach. A speedup of up to 3 orders of magnitude was obtained in a number of cases.

上一篇:Real-Time Solving of Quanti?ed CSPs Based on Monte-Carlo Game Tree Search

下一篇:Complete Algorithms for Cooperative Path?nding Problems Trevor Standley1 and Richard Korf

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