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

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorYang, Shiyou
dc.creatorMachado, Jose Marcio
dc.creatorNi, Guangzheng
dc.creatorHo, S. L.
dc.creatorZhou, Ping
dc.date2014-05-20T15:23:07Z
dc.date2016-10-25T21:21:40Z
dc.date2014-05-20T15:23:07Z
dc.date2016-10-25T21:21:40Z
dc.date2000-07-01
dc.date.accessioned2017-04-06T09:23:42Z
dc.date.available2017-04-06T09:23:42Z
dc.identifierIEEE Transactions on Magnetics. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 36, n. 4, p. 1004-1008, 2000.
dc.identifier0018-9464
dc.identifierhttp://hdl.handle.net/11449/130643
dc.identifierhttp://acervodigital.unesp.br/handle/11449/130643
dc.identifier10.1109/20.877611
dc.identifierWOS:000090067900084
dc.identifier2-s2.0-0034217702
dc.identifierhttp://dx.doi.org/10.1109/20.877611
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/941186
dc.descriptionA 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.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationIEEE Transactions on Magnetics
dc.rightsinfo:eu-repo/semantics/closedAccess
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 devices
dc.typeOtro


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