On the Asymptotic Performance of IDA*

dc.contributor.authorMahanti, Ambujen_US
dc.contributor.authorGhosh, S.en_US
dc.contributor.authorNau, Dana S.en_US
dc.contributor.authorPal, A. K.en_US
dc.contributor.authorKanal, L.N.en_US
dc.date.accessioned2004-05-31T22:30:30Z
dc.date.available2004-05-31T22:30:30Z
dc.date.created1995-02en_US
dc.date.issued1998-10-15en_US
dc.description.abstractSince best-first search algorithms such as A* require large amounts of memory, they sometimes cannot run to completion, even on problem instances of moderate size. This problem has led to the development of limited-memory search algorithms, of which the best known is IDA*. This paper presents the following results about IDA and related algorithms: The analysis of asymptotic optimality for IDA* in [10] is incorrect. There are trees satisfying the asymptotic optimality conditions given in [10] for which IDA* is not asymptotically optimal. To correct the above problem, we state and prove necessary and sufficient conditions for asymptotic optimality of IDA* on trees. On trees not satisfying our conditions, we show that no best-first limited-memory search algorithm can be asymptotically optimal. On graphs, IDA* can perform quite poorly. In particular, there are graphs on which IDA* does node expansions where N is the number of nodes expanded by A'. (Also cross-referenced as UMIACS-TR-95-22)en_US
dc.format.extent390552 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/701
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3419en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-95-22en_US
dc.titleOn the Asymptotic Performance of IDA*en_US
dc.typeTechnical Reporten_US

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