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A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices

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dc.contributor.authorYang, Shiyou
dc.contributor.authorMachado, Jose Marcio [UNESP]
dc.contributor.authorNi, Guangzheng
dc.contributor.authorHo, S. L.
dc.contributor.authorZhou, Ping
dc.contributor.institutionHong Kong Polytechnic University
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionZhejiang University
dc.contributor.institutionAnsoft Corporation
dc.date.accessioned2014-05-20T15:23:07Z
dc.date.available2014-05-20T15:23:07Z
dc.date.issued2000-07-01
dc.description.abstractA self-learning simulated annealing algorithm is developed by combining the characteristics of simulated annealing and domain elimination methods. The algorithm is validated by using a standard mathematical function and by optimizing the end region of a practical power transformer. The numerical results show that the CPU time required by the proposed method is about one third of that using conventional simulated annealing algorithm.en
dc.description.affiliationHong Kong Polytech Univ, EE Dept, Hong Kong, Hong Kong, Peoples R China
dc.description.affiliationSão Paulo State Univ, Dept Comp Sci & Stat, Sao Jose do Rio Preto, SP, Brazil
dc.description.affiliationZhejiang Univ, EE Dept, Zhejiang, Peoples R China
dc.description.affiliationAnsoft Corp, Pittsburgh, PA 15219 USA
dc.description.affiliationUnespSão Paulo State Univ, Dept Comp Sci & Stat, Sao Jose do Rio Preto, SP, Brazil
dc.format.extent1004-1008
dc.identifierhttp://dx.doi.org/10.1109/20.877611
dc.identifier.citationIEEE Transactions on Magnetics. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 36, n. 4, p. 1004-1008, 2000.
dc.identifier.doi10.1109/20.877611
dc.identifier.issn0018-9464
dc.identifier.scopus2-s2.0-0034217702
dc.identifier.urihttp://hdl.handle.net/11449/130643
dc.identifier.wosWOS:000090067900084
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Magnetics
dc.relation.ispartofjcr1.467
dc.relation.ispartofsjr0,488
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectDomain elimination method
dc.subjectElectromagnetic devices
dc.subjectPower transformer
dc.subjectSelf-learning ability
dc.subjectSimulated annealing algorithms
dc.subjectAlgorithms
dc.subjectAnnealing
dc.subjectOptimization
dc.subjectElectromagnetic fields
dc.titleA self-learning simulated annealing algorithm for global optimizations of electromagnetic devicesen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
dspace.entity.typePublication
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