Pareto Front Generation with Knee-Point Based Pruning for Mixed Discrete Multi-Objective Optimization

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dc.contributor.authorLee, Juseongko
dc.contributor.authorLee, Sang-Ilko
dc.contributor.authorAhn, Jaemyungko
dc.contributor.authorChoi, Han-Limko
dc.date.accessioned2018-08-20T08:08:34Z-
dc.date.available2018-08-20T08:08:34Z-
dc.date.created2018-03-10-
dc.date.created2018-03-10-
dc.date.created2018-03-10-
dc.date.issued2018-07-
dc.identifier.citationSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.58, no.2, pp.823 - 830-
dc.identifier.issn1615-147X-
dc.identifier.urihttp://hdl.handle.net/10203/244986-
dc.description.abstractThis note proposes an algorithm to generate the Pareto front of a mixed discrete multi-objective optimization problem based on the pruning of irrelevant subproblems. The knee point is introduced as a new reference point for pruning decision. The point can overcome the drawback of the existing reference point - over-pruning, and be naturally defined and used in the context of multi-objective optimization. The validity of the proposed procedure is demonstrated through case studies.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.titlePareto Front Generation with Knee-Point Based Pruning for Mixed Discrete Multi-Objective Optimization-
dc.typeArticle-
dc.identifier.wosid000440107200029-
dc.identifier.scopusid2-s2.0-85042202987-
dc.type.rimsART-
dc.citation.volume58-
dc.citation.issue2-
dc.citation.beginningpage823-
dc.citation.endingpage830-
dc.citation.publicationnameSTRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION-
dc.identifier.doi10.1007/s00158-018-1926-2-
dc.contributor.localauthorAhn, Jaemyung-
dc.contributor.localauthorChoi, Han-Lim-
dc.contributor.nonIdAuthorLee, Juseong-
dc.contributor.nonIdAuthorLee, Sang-Il-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorPareto front-
dc.subject.keywordAuthorMixed-discrete optimization-
dc.subject.keywordAuthorMulti-objective optimization-
dc.subject.keywordAuthorPruning-
dc.subject.keywordAuthorKnee point-
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