Computer Science – Artificial Intelligence
Scientific paper
2011-06-21
Computer Science
Artificial Intelligence
Scientific paper
In this paper we explore a symmetry-based search space reduction technique which can speed up optimal pathfinding on undirected uniform-cost grid maps by up to 38 times. Our technique decomposes grid maps into a set of empty rectangles, removing from each rectangle all interior nodes and possibly some from along the perimeter. We then add a series of macro-edges between selected pairs of remaining perimeter nodes to facilitate provably optimal traversal through each rectangle. We also develop a novel online pruning technique to further speed up search. Our algorithm is fast, memory efficient and retains the same optimality and completeness guarantees as searching on an unmodified grid map.
Botea Adi
Harabor Daniel
Kilby Philip
No associations
LandOfFree
Symmetry-Based Search Space Reduction For Grid Maps does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Symmetry-Based Search Space Reduction For Grid Maps, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Symmetry-Based Search Space Reduction For Grid Maps will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-177802