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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Journal Papers(저널논문)

A quantum-inspired evolutionary computing algorithm for disk allocation method

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dc.contributor.authorKim, KHko
dc.contributor.authorHwang, JYko
dc.contributor.authorHan, KHko
dc.contributor.authorKim, Jong-Hwanko
dc.contributor.authorPark, Kyu Hoko
dc.date.accessioned2009-11-17T08:30:27Z-
dc.date.available2009-11-17T08:30:27Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2003-03-
dc.identifier.citationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E86D, pp.645 - 649-
dc.identifier.issn0916-8532-
dc.identifier.urihttp://hdl.handle.net/10203/12757-
dc.description.abstractBased on a Quantum-inspired Evolutionary Algorithm (QEA), a new disk allocation method is proposed for distributing buckets of a binary cartesian product file among unrestricted number of disks to maximize concurrent disk I/O. It manages the probability distribution matrix to represent the qualities of the genes. Determining the excellent genes quickly makes the proposed method have faster convergence than DAGA. It gives better solutions and 3.2 - 11.3 times faster convergence than DAGA.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titleA quantum-inspired evolutionary computing algorithm for disk allocation method-
dc.typeArticle-
dc.identifier.wosid000181421800034-
dc.identifier.scopusid2-s2.0-0038380984-
dc.type.rimsART-
dc.citation.volumeE86D-
dc.citation.beginningpage645-
dc.citation.endingpage649-
dc.citation.publicationnameIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Jong-Hwan-
dc.contributor.localauthorPark, Kyu Ho-
dc.contributor.nonIdAuthorKim, KH-
dc.contributor.nonIdAuthorHwang, JY-
dc.contributor.nonIdAuthorHan, KH-
dc.type.journalArticleLetter-
dc.subject.keywordAuthorpartial match queries-
dc.subject.keywordAuthoroptimal disk allocation-
dc.subject.keywordAuthorquantum-inspired evolutionary algorithm-
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EE-Journal Papers(저널논문)
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