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Self-adjusting the tolerance level in a fully sequential feasibility check procedure

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dc.contributor.authorLee, Mi Lim-
dc.contributor.authorPark, Chuljin-
dc.contributor.authorPark, Dong Uk-
dc.date.available2020-07-10T04:14:42Z-
dc.date.created2020-07-06-
dc.date.issued2018-12-01-
dc.identifier.issn0377-2217-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/2851-
dc.description.abstractWe consider the problem of determining the feasibility of systems when the performance measures in stochastic constraints need to be evaluated via simulation. We develop a new procedure, namely the adaptive feasibility check procedure. Specifically, the procedure uses an existing feasibility check procedure iteratively as its subroutine with a decreasing sequence of tolerance levels. Our procedure is designed to return the set of strictly feasible systems with at least a prespecified probability. The validity and efficiency of the procedure are investigated through both analytical and experimental results. The procedure is also tested using numerical examples. (C) 2018 Elsevier B.V. All rights reserved.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectSIMULATION BUDGET ALLOCATION-
dc.subjectSTOCHASTIC CONSTRAINTS-
dc.subjectOPTIMIZATION-
dc.subjectPROBABILITY-
dc.subjectALGORITHM-
dc.subjectSELECTION-
dc.subjectSYSTEMS-
dc.titleSelf-adjusting the tolerance level in a fully sequential feasibility check procedure-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Mi Lim-
dc.identifier.doi10.1016/j.ejor.2018.05.045-
dc.identifier.scopusid2-s2.0-85048779693-
dc.identifier.wosid000440960300026-
dc.identifier.bibliographicCitationEUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.271, no.2, pp.733 - 745-
dc.relation.isPartOfEUROPEAN JOURNAL OF OPERATIONAL RESEARCH-
dc.citation.titleEUROPEAN JOURNAL OF OPERATIONAL RESEARCH-
dc.citation.volume271-
dc.citation.number2-
dc.citation.startPage733-
dc.citation.endPage745-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryManagement-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusSIMULATION BUDGET ALLOCATION-
dc.subject.keywordPlusSTOCHASTIC CONSTRAINTS-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusPROBABILITY-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusSELECTION-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordAuthorSimulation-
dc.subject.keywordAuthorStochastic constraints-
dc.subject.keywordAuthorRanking and selection-
dc.subject.keywordAuthorFully sequential algorithms-
dc.subject.keywordAuthorMultiple performance measures-
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