Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/850
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | - |
dc.creator | Yang, S | - |
dc.creator | Ho, SL | - |
dc.creator | Ni, G | - |
dc.creator | Machado, JM | - |
dc.creator | Wong, KF | - |
dc.date.accessioned | 2014-12-11T08:27:24Z | - |
dc.date.available | 2014-12-11T08:27:24Z | - |
dc.identifier.issn | 0018-9464 | - |
dc.identifier.uri | http://hdl.handle.net/10397/850 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2007 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.rights | This 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.subject | Genetic algorithm (GA) | en_US |
dc.subject | Global optimization | en_US |
dc.subject | Inverse problem | en_US |
dc.subject | Population based incremental learning (PBIL) method | en_US |
dc.title | A new implementation of population based incremental learning method for optimizations in electromagnetics | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Author name used in this publication: S. L. Ho | en_US |
dc.identifier.spage | 1601 | - |
dc.identifier.epage | 1604 | - |
dc.identifier.volume | 43 | - |
dc.identifier.issue | 4 | - |
dc.identifier.doi | 10.1109/TMAG.2006.892112 | - |
dcterms.abstract | To 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. The strategy for updating those probability vectors and the negative learning and mutation operators are thus re-defined correspondingly. Moreover, to strike the best tradeoff between exploration and exploitation searches, an adaptive updating strategy for the learning rate is designed. Numerical examples are reported to demonstrate the pros and cons of the newly implemented algorithm. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on magnetics, Apr. 2007, v. 43, no. 4, p. 1601-1604 | - |
dcterms.isPartOf | IEEE transactions on magnetics | - |
dcterms.issued | 2007-04 | - |
dc.identifier.isi | WOS:000245327200114 | - |
dc.identifier.scopus | 2-s2.0-33947662522 | - |
dc.identifier.eissn | 1941-0069 | - |
dc.identifier.rosgroupid | r34608 | - |
dc.description.ros | 2006-2007 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | VoR allowed | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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incremental-learning_07.pdf | 132.29 kB | Adobe PDF | View/Open |
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