Pruning techniques for the increasing cost tree search for optimal multi-agent pathfinding Conference Paper uri icon

abstract

  • 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. In Sharon et. al.(2011), we introduced a novel two- level search algorithm framework for this problem. The high-level searches a novel search tree called increasing cost tree (ICT). The low-level performs a goal test on each ICT node. The new framework, called ICT search (ICTS), showed to run faster than the previous state- of-the-art A* approach by up to three orders of magnitude in many cases. In this paper we focus on the low-level of ICTS which performs the goal test. We introduce a number of optional pruning techniques that can significantly speed up the goal test. We discuss these pruning techniques and provide supporting experimental results.

publication date

  • January 1, 2011