DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Seon Han | ko |
dc.contributor.author | Kim, Tag-Gon | ko |
dc.date.accessioned | 2018-04-24T05:07:14Z | - |
dc.date.available | 2018-04-24T05:07:14Z | - |
dc.date.created | 2016-11-17 | - |
dc.date.created | 2016-11-17 | - |
dc.date.created | 2016-11-17 | - |
dc.date.issued | 2018-04 | - |
dc.identifier.citation | IEEE Transactions on Systems, Man, and Cybernetics: Systems, v.48, no.4, pp.557 - 564 | - |
dc.identifier.issn | 2168-2216 | - |
dc.identifier.uri | http://hdl.handle.net/10203/241313 | - |
dc.description.abstract | This paper proposes an improved algorithm for the optimal subset selection of a stochastic simulation model. The algorithm uses a statistical hypothesis test based on frequentist inference to evaluate the uncertainty about the selection, and it distributes simulation resources to designs for minimizing the uncertainty in each iteration. Several experiments demonstrate the improved performance compared to the other algorithms, and the performance increases significantly as the noise of the model increases. As a result, its high robustness to noise allows the algorithm to efficiently analyze real-world problems. | - |
dc.language | English | - |
dc.publisher | IEEE Advancing Technology for Humanity | - |
dc.title | Optimal Subset Selection of Stochastic Model Using Statistical Hypothesis Test | - |
dc.type | Article | - |
dc.identifier.wosid | 000427628200007 | - |
dc.identifier.scopusid | 2-s2.0-85044136802 | - |
dc.type.rims | ART | - |
dc.citation.volume | 48 | - |
dc.citation.issue | 4 | - |
dc.citation.beginningpage | 557 | - |
dc.citation.endingpage | 564 | - |
dc.citation.publicationname | IEEE Transactions on Systems, Man, and Cybernetics: Systems | - |
dc.identifier.doi | 10.1109/TSMC.2016.2608982 | - |
dc.contributor.localauthor | Kim, Tag-Gon | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Optimal subset selection | - |
dc.subject.keywordAuthor | ranking and selection (R& | - |
dc.subject.keywordAuthor | S) | - |
dc.subject.keywordAuthor | simulation-based optimization (SBO) | - |
dc.subject.keywordAuthor | statistical hypothesis test | - |
dc.subject.keywordAuthor | stochastic model | - |
dc.subject.keywordPlus | SIMULATION BUDGET ALLOCATION | - |
dc.subject.keywordPlus | OPPORTUNITY COST | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | SYSTEMS | - |
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