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모계 집단 해법의 개발

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dc.contributor.author양병학-
dc.date.available2020-02-27T22:42:25Z-
dc.date.created2020-02-12-
dc.date.issued2017-
dc.identifier.issn1598-2475-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7284-
dc.description.abstractWe designed maternal group algorithm (MGA) for the optimization problem. The individuals in MGA are two type of female and male. Each female individuals are included in maternal group. The strong male individuals are in maternal group as a leader of maternal group and the weak male individuals are in male group. We introduced maternal group completion, leader male exchanging, aging operation as a MGA operation. Four alternative algorithm were designed to test for the quality of solution and the calculation time.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한설비관리학회-
dc.relation.isPartOf대한설비관리학회지-
dc.title모계 집단 해법의 개발-
dc.title.alternativeDeveloping the Maternal Group Algorithm-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.bibliographicCitation대한설비관리학회지, v.22, no.4, pp.51 - 63-
dc.identifier.kciidART002306470-
dc.citation.endPage63-
dc.citation.startPage51-
dc.citation.title대한설비관리학회지-
dc.citation.volume22-
dc.citation.number4-
dc.contributor.affiliatedAuthor양병학-
dc.subject.keywordAuthorMeta Heuristic-
dc.subject.keywordAuthorMaternal Group-
dc.subject.keywordAuthorGroup Competition-
dc.subject.keywordAuthorAging-
dc.description.journalRegisteredClasskci-
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