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Disjoint Pattern Database Heuristics

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onlyaectsubgoalsinasinglegroup.Forexample,inthesliding-tilepuzzle,eachoperatoronlymovesonetile.Thisisjustasecientastakingthe<br />

maximumofdierentvalues,butmuchmoreaccurate,andstilladmissible. mostlyduetothelatencyofrandomlyaccessingthelargedatabaseinmemory.Thisoverheadismorethancompensatedforbythedecreaseinthe<br />

numberofnodesgeneratedtosolveaproblem. <strong>Pattern</strong>databaseheuristicsaremoreexpensivetoevaluateduringsearch,<br />

multiplesubgoals.Thisworksuggestsheuristicsbasedonthesimultaneous toapplyittootherproblems.Allcombinatorialproblemsinvolvesolving implementationofadmissibleheuristicfunctions.Theobviousnextstepis Itremainstobeseenhowgeneralthisapproachistothediscoveryand<br />

addedtogethertocreateamoreaccurateadmissibleheuristic. considerationofmultiplesubgoals,insuchawaythattheirvaluescanbe<br />

ThisworkwassupportedbyNSFGrantIRI-9619447.ThankstoEitan YardenandMosheMalinfortheirworkonpairwiseandtripledistances. 7 Acknowledgements<br />

References<br />

[2]Felner,A.,ImprovingSearchTechniquesandUsingthemonDierentEnvironments,Ph.D.Thesis,Dept.ofMathematicsandComputerScience,<br />

[1]Culberson,J.,andJ.Schaeer.<strong>Pattern</strong><strong>Database</strong>s,ComputationalIntelligence,Vol.14,No.3,pp.318-334,1998.<br />

[3]Garey,M.R.,andD.S.Johnson,ComputersandIntractability:AGuide totheTheoryofNP-Completeness,W.H.Freeman,SanFrancisco,1979. Bar-IlanUniversity,Ramat-Gan,Israel,2001.<br />

[4]Gasser,R.U.,HarnessingComputationalResourcesforEcientExhaustiveSearch,Ph.D.Thesis,SwissFederalInstituteofTechnology,Zurich,<br />

Switzerland,1995.<br />

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