Hybrid evolutionary programming for heavily constrained problems

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dc.contributor.authorMyung, Hyunko
dc.contributor.authorKim, Jong-Hwanko
dc.date.accessioned2013-02-28T05:36:21Z-
dc.date.available2013-02-28T05:36:21Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1996-
dc.identifier.citationBIOSYSTEMS, v.38, no.1, pp.29 - 43-
dc.identifier.issn0303-2647-
dc.identifier.urihttp://hdl.handle.net/10203/73038-
dc.description.abstractA hybrid of evolutionary programming (EP) and a deterministic optimization procedure is applied to a series of nonlinear and quadratic optimization problems. The hybrid scheme is compared with other existing schemes such as EP alone, two-phase (TP) optimization, and EP with a non-stationary penalty function (NS-EP). The results indicate that the hybrid method can outperform the other methods when addressing heavily constrained optimization problems in terms of computational efficiency and solution accuracy.-
dc.languageEnglish-
dc.publisherELSEVIER SCI IRELAND LTD-
dc.titleHybrid evolutionary programming for heavily constrained problems-
dc.typeArticle-
dc.identifier.wosidA1996TY94400003-
dc.identifier.scopusid2-s2.0-0030063679-
dc.type.rimsART-
dc.citation.volume38-
dc.citation.issue1-
dc.citation.beginningpage29-
dc.citation.endingpage43-
dc.citation.publicationnameBIOSYSTEMS-
dc.contributor.localauthorMyung, Hyun-
dc.contributor.localauthorKim, Jong-Hwan-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorhybrid evolutionary programming-
dc.subject.keywordAuthordeterministic optimization-
dc.subject.keywordAuthorcomputational efficiency-
dc.subject.keywordAuthorsolution accuracy-
dc.subject.keywordPlusNEURAL NETWORKS-
dc.subject.keywordPlusOPTIMIZATION-
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EE-Journal Papers(저널논문)
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