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Differential evolution enhanced with evolution path vector

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dc.contributor.authorLi, Yuan-Long-
dc.contributor.authorZhan, Zhi-Hui-
dc.contributor.authorZhang, Jun-
dc.date.accessioned2024-01-20T09:01:34Z-
dc.date.available2024-01-20T09:01:34Z-
dc.date.issued2013-07-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117797-
dc.description.abstractand centralized model (CM) offspring generation models, this paper proposes to use the differential evolution (DE) algorithm as the base population reproduction method and enhance its DM scheme with one of the key CM features, which is the covariance matrix adaptation (CMA) used in CMA-ES. In this way, an enhanced DE population reproduction scheme with evolution path (DE/EP) is developed. The proposed DE/EP scheme is kept almost as simple as the original DE but works better due to the advantages of the CMA feature.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherACM-
dc.titleDifferential evolution enhanced with evolution path vector-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1145/2464576.2464637-
dc.identifier.scopusid2-s2.0-84882303301-
dc.identifier.bibliographicCitationGECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, pp 123 - 124-
dc.citation.titleGECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation-
dc.citation.startPage123-
dc.citation.endPage124-
dc.type.docTypeConference paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorCMA-ES-
dc.subject.keywordAuthorDifferential evolution-
dc.subject.keywordAuthorEstimated distribution algorithm-
dc.subject.keywordAuthorHybrid algorithm-
dc.subject.keywordAuthorNon-parametric model-
dc.subject.keywordAuthorParametric model-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/2464576.2464637-
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