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A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics

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dc.contributor.authorYang, S. Y.
dc.contributor.authorHo, S. L.
dc.contributor.authorNi, G. Z.
dc.contributor.authorMachado, José Márcio [UNESP]
dc.contributor.authorWong, K. F.
dc.contributor.institutionZhejiang University
dc.contributor.institutionHong Kong Polytechnic University
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:22:02Z
dc.date.available2014-05-27T11:22:02Z
dc.date.issued2006-11-21
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.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.identifierhttp://dx.doi.org/10.1109/CEFC-06.2006.1632955
dc.identifier.citation12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006.
dc.identifier.dimensionspub.1094340874
dc.identifier.doi10.1109/CEFC-06.2006.1632955
dc.identifier.isbn1-4244-0320-0
dc.identifier.orcid0000-0003-1721-6177
dc.identifier.orcid0000-0002-4021-8923
dc.identifier.scopus2-s2.0-42749107739
dc.identifier.urihttp://hdl.handle.net/11449/69227
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
dc.rights.accessRightsAcesso abertopt
dc.sourceScopus
dc.sourceDimensions
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.typeTrabalho apresentado em eventopt
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
relation.isOrgUnitOfPublication43c38943-bd6f-4fb6-a9a5-8482a1f632c0
relation.isOrgUnitOfPublication.latestForDiscovery43c38943-bd6f-4fb6-a9a5-8482a1f632c0
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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São José do Rio Preto - IBILCE - Instituto de Biociências, Letras e Ciências Exatas