Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55955
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHuang, W.en
dc.contributor.authorHu, E.en
dc.contributor.authorGhamami, K.en
dc.date.issued2004en
dc.identifier.citationAUPEC 2004: Australasian Universities Power Engineering Conference Brisbane, Australia, 2004:www1-8en
dc.identifier.isbn1864997753en
dc.identifier.urihttp://hdl.handle.net/2440/55955-
dc.description.statementofresponsibilityHuang Wei, Eric Hu and Khayam Ghamamien
dc.description.urihttp://www.itee.uq.edu.au/~aupec/aupec04/papers_author.htmen
dc.language.isoenen
dc.publisherUniversity of Queensland, School of Information Technology & Electrical Engineeringen
dc.titleUsing immune genetic algorithm to optimize the reactive poweren
dc.typeConference paperen
dc.contributor.conferenceAustralasian Universities Power Engineering Conference (14th : 2004 : Brisbane, Australia)en
dc.publisher.placeBrisbane, Qld. Australiaen
pubs.publication-statusPublisheden
dc.identifier.orcidHu, E. [0000-0002-7390-0961]en
Appears in Collections:Aurora harvest 5
Environment Institute publications
Mechanical Engineering conference papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.