Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1356
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLing, SH-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.creatorLee, YS-
dc.date.accessioned2014-12-11T08:26:20Z-
dc.date.available2014-12-11T08:26:20Z-
dc.identifier.isbn0-7803-7906-3-
dc.identifier.urihttp://hdl.handle.net/10397/1356-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2003 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.subjectEconomic load dispatch (ELD)en_US
dc.subjectGenetic algorithm (GA)en_US
dc.titleImproved genetic algorithm for economic load dispatch with valve-point loadingsen_US
dc.typeConference Paperen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractEconomic load dispatch is one of the optimization problems in power systems. This paper presents an improved genetic algorithm for economic load dispatch with valve-point loadings. New crossover and mutation operations are introduced. The solutions of the economic load dispatch with valve-point loadings under three cases are solved by the improved genetic algorithm. Test results are given and compared with those from different published genetic algorithms. It will be shown that the proposed improved genetic algorithm performs better than the published genetic algorithms.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIECON'03 : the 29th annual conference of the IEEE Industrial Electronics Society : Roanoke, Virginia, USA, November 2nd (Sunday) to Thursday, November 6th (Thursday) 2003, p. 442-447-
dcterms.issued2003-
dc.identifier.isiWOS:000189465300076-
dc.identifier.scopus2-s2.0-1442329319-
dc.identifier.rosgroupidr18469-
dc.description.ros2003-2004 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Economic load dispatch_03.pdf364.58 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

194
Last Week
1
Last month
Citations as of Apr 14, 2024

Downloads

215
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

28
Last Week
0
Last month
0
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

17
Last Week
0
Last month
0
Citations as of Apr 18, 2024

Google ScholarTM

Check


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