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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/69227
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dc.contributor.authorYang, S. Y.-
dc.contributor.authorHo, S. L.-
dc.contributor.authorNi, G. Z.-
dc.contributor.authorMachado, José Márcio-
dc.contributor.authorWong, K. F.-
dc.date.accessioned2014-05-27T11:22:02Z-
dc.date.accessioned2016-10-25T18:22:57Z-
dc.date.available2014-05-27T11:22:02Z-
dc.date.available2016-10-25T18:22:57Z-
dc.date.issued2006-11-21-
dc.identifierhttp://dx.doi.org/10.1109/CEFC-06.2006.1632955-
dc.identifier.citation12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006.-
dc.identifier.urihttp://hdl.handle.net/11449/69227-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/69227-
dc.description.abstractTo enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for updating those probability vectors and the negative learning and mutation operators are redefined as reported. Numerical examples are reported to demonstrate the pros and cons of the newly Implemented algorithm. ©2006 IEEE.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAlgorithms-
dc.subjectLearning systems-
dc.subjectNumerical analysis-
dc.subjectOptimization-
dc.subjectProbability-
dc.subjectVectors-
dc.subjectMultiple probability vectors-
dc.subjectPopulation Based Incremental Learning (PBIL)-
dc.subjectElectromagnetism-
dc.titleA new implementation of Population Based Incremental Learning method for optimization studies in electromagneticsen
dc.typeoutro-
dc.contributor.institutionZhejiang University-
dc.contributor.institutionHong Kong Polytechnic University-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationCollege of Electrical Engineering Zhejiang University, Hangzhou, 310027-
dc.description.affiliationDepartment of Electrical Engineering Hong Kong Polytechnic University, Hong Kong-
dc.description.affiliationSão Paulo State University (UNESP), São José do Rio Preto-
dc.description.affiliationUnespSão Paulo State University (UNESP), São José do Rio Preto-
dc.identifier.doi10.1109/CEFC-06.2006.1632955-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006-
dc.identifier.scopus2-s2.0-42749107739-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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