Ron Zvi Stern

Senior Academic

The increasing cost tree search for optimal multi-agent pathfinding

Guni Sharon, Roni Stern, Meir Goldenberg, Ariel Felner

We address the problem of optimal path finding 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 finds optimal solutions. We analyze this new formalization and compare it to the previous state-of-the-art A*-based approach. Experimental results on various domains show the benefits and drawbacks of this approach. A speedup of up to 3 orders of magnitude was obtained in a number of cases.

Publication language English
Pages 662-667
Publication status Published - 01.12.2011

ASJC Scopus subject areas

Artificial Intelligence