Dual search in permutation state spaces

作者: Uzi Zahavi , Robert Holte , Jonathan Schaeffer , Ariel FeIner

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摘要: Geometrical symmetries are commonly exploited to improve the efficiency of search algorithms. We introduce a new logical symmetry in permutation state spaces which we call duality. show that each has dual state. Both states share important attributes and these properties can be used efficiency. also present algorithm, search, switches between original when it seems likely switch will chances cutoff. The decision is very several policies for doing this investigated. Experimental results significant improvements number applications.

参考文章(7)
Uzi Zahavi, Ariel Felner, Robert C. Holte, Jonathan Schaeffer, Dual lookups in pattern databases international joint conference on artificial intelligence. pp. 103- 108 ,(2005)
H. Kaindl, G. Kainz, Bidirectional heuristic search reconsidered Journal of Artificial Intelligence Research. ,vol. 7, pp. 283- 317 ,(1997) , 10.1613/JAIR.460
Stefan Edelkamp, Planning with Pattern Databases Sixth European Conference on Planning. ,(2014)
Richard E. Korf, Ariel Felner, Disjoint pattern database heuristics Artificial Intelligence. ,vol. 134, pp. 9- 22 ,(2002) , 10.1016/S0004-3702(01)00092-3
Eric A. Hansen, Rong Zhou, Space-efficient memory-based heuristics national conference on artificial intelligence. pp. 677- 682 ,(2004)
Richard E. Korf, Ariel Felner, Ram Meshulam, Robert C. Holte, Compressing pattern databases national conference on artificial intelligence. pp. 638- 643 ,(2004)
Richard E. Korf, Finding optimal solutions to Rubik's cube using pattern databases national conference on artificial intelligence. pp. 700- 705 ,(1997)