Dual search in permutation state spaces

Uzi Zahavi, Ariel Felner, Robert Holte, Jonathan Schaeffer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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. We show that each state has a dual state. Both states share important attributes and these properties can be used to improve search efficiency. We also present a new search algorithm, dual search, which switches between the original state and the dual state when it seems likely that the switch will improve the chances of a cutoff. The decision of when to switch is very important and several policies for doing this are investigated. Experimental results show significant improvements for a number of applications.

Original languageEnglish
Title of host publicationHeuristic Search, Memory-Based Heuristics and their Applications - Papers from the AAAI Workshop, Technical Report
Number of pages6
StatePublished - 2006
Externally publishedYes
Event2006 AAAI Workshop - Boston, MA, United States
Duration: 16 Jul 200617 Jul 2006

Publication series

NameAAAI Workshop - Technical Report


Conference2006 AAAI Workshop
Country/TerritoryUnited States
CityBoston, MA


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