Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/893
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.contributorIndustrial Centre-
dc.creatorHo, SL-
dc.creatorYang, S-
dc.creatorNi, G-
dc.creatorWong, HCC-
dc.date.accessioned2014-12-11T08:28:33Z-
dc.date.available2014-12-11T08:28:33Z-
dc.identifier.issn0018-9464-
dc.identifier.urihttp://hdl.handle.net/10397/893-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectCompact supporten_US
dc.subjectGlobal optimizationen_US
dc.subjectInverse problemen_US
dc.subjectRadial basis functionen_US
dc.subjectResponse surface modelen_US
dc.titleA fast global optimizer based on improved CS-RBF and stochastic optimal algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: S. L. Hoen_US
dc.description.otherinformationAuthor name used in this publication: H. C. Wongen_US
dc.identifier.spage1175-
dc.identifier.epage1178-
dc.identifier.volume42-
dc.identifier.issue4-
dc.identifier.doi10.1109/TMAG.2006.871429-
dcterms.abstractAn improved compactly supported radial basis function is proposed as a response surface model in the study of computationally heavy design problems. A new interpolation formula is introduced to enhance the interpolation accuracy on boundary derivatives and the proposed response surface model is then combined with stochastic algorithms in the design of a fast global optimizer. Numerical results are reported to demonstrate the generality and the robustness of the proposed works.-
dcterms.bibliographicCitationIEEE transactions on magnetics, Apr. 2006, v. 42, no. 4, p. 1175-1178-
dcterms.isPartOfIEEE transactions on magnetics-
dcterms.issued2006-04-
dc.identifier.isiWOS:000236675200169-
dc.identifier.scopus2-s2.0-33645140772-
dc.identifier.eissn1941-0069-
dc.identifier.rosgroupidr27049-
dc.description.ros2005-2006 > Academic research: refereed > Publication in refereed journal-
dc.description.oapublished_final-
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