A* Search with Inconsistent Heuristics
Zhang, Zhifu (University of Alberta) | Sturtevant, Nathan R. (University of Alberta) | Holte, Robert (University of Alberta) | Schaeffer, Jonathan (University of Alberta) | Felner, Ariel (Ben-Gurion University)
Early research in heuristic search discovered that using inconsistent heuristics with A* could result in an exponential increase in the number of node expansions. As a result, the use of inconsistent heuristics has largely disappeared from practice. Recently, inconsistent heuristics have been shown to be effective in IDA*, especially when applying the bidirectional pathmax (BPMX) enhancement. This paper presents new worst-case complexity analysis of A*'s behavior with inconsistent heuristics, discusses how BPMX can be used with A*, and gives experimental results justifying the use of inconsistent heuristics in A* searches.
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