Limitations of front-to-end bidirectional heuristic search

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Abstract

We present an intuitive explanation for the limited effectiveness of front-to-end bidirectional heuristic search, supported with extensive evidence from many commonly-studied domains. While previous work has proved the limitations of specific algorithms, we show that any front-to-end bidirectional heuristic search algorithm will likely be dominated by unidirectional heuristic search or bidirectional brute-force search. We also demonstrate a pathological case where bidirectional heuristic search is the dominant algorithm, so a stronger claim cannot be made. Finally, we show that on the four-peg Towers Of Hanoi with arbitrary start and goal states, bidirectional brute-force search outperforms unidirectional heuristic search using pattern-database heuristics.

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APA

Barker, J. K., & Korf, R. E. (2015). Limitations of front-to-end bidirectional heuristic search. In Proceedings of the National Conference on Artificial Intelligence (Vol. 2, pp. 1086–1092). AI Access Foundation. https://doi.org/10.1609/aaai.v29i1.9374

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