멀티모달 함수의 최적화를 위한 멘델 연산 유전자 알고리즘A Genetic Algorithm withe a Mendel Operator for Multimodal Function Optimization

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dc.contributor.author송인수ko
dc.contributor.author심재완ko
dc.contributor.author탁민제ko
dc.date.accessioned2013-03-03T00:24:32Z-
dc.date.available2013-03-03T00:24:32Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2000-12-
dc.identifier.citation제어.로봇.시스템학회 논문지, v.6, pp.1061 - 1069-
dc.identifier.issn1225-9853-
dc.identifier.urihttp://hdl.handle.net/10203/76231-
dc.description.abstractIn this paper, a new genetic algorithm is proposed for solving multimodal function optimization problems that are not easily solved by conventional genetic algorithm(GA)s. This algorithm finds one of local optima first and another optima at the next iteration. By repeating this process, we can locate all the local solutions instead of one local solution as in conventional GAs. To avoid converging to the same optimum again, we devise a new genetic operator, called a Mendel operator which simulates the Mendel`s genetic law. The proposed algorithm remembers the optima obtained so far, compels individuals to move away from them, and finds a new optimum.-
dc.languageKorean-
dc.publisher제어·로봇·시스템학회-
dc.title멀티모달 함수의 최적화를 위한 멘델 연산 유전자 알고리즘-
dc.title.alternativeA Genetic Algorithm withe a Mendel Operator for Multimodal Function Optimization-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume6-
dc.citation.beginningpage1061-
dc.citation.endingpage1069-
dc.citation.publicationname제어.로봇.시스템학회 논문지-
dc.contributor.localauthor탁민제-
dc.contributor.nonIdAuthor송인수-
dc.contributor.nonIdAuthor심재완-
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AE-Journal Papers(저널논문)
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