AAAI Publications, Tenth Annual Symposium on Combinatorial Search

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Dynamic Potential Search on Weighted Graphs
Daniel Gilon, Ariel Felner, Roni Stern

Last modified: 2017-06-05

Abstract


Dynamic Potential Search (DPS) is a recently introduced search algorithm that returns a bounded-suboptimal cost solution. DPS orders nodes in the open-list based on their potential which is a combination of both the g- and h-values of a node. In this paper we study the behavior of DPS on weighted graphs. In particular, we develop a new variant of DPS, called DPSU which calculates the potential by counting one for each edge regardless of its costs. We develop an eager version and a restrained version of DPSU. We then compare all these algorithms on a number of weighted graphs and study the pros and cons of each of them.

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