Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/52692
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFoong, W.-
dc.contributor.authorSimpson, A.-
dc.contributor.authorMaier, H.-
dc.contributor.authorStolp, S.-
dc.date.issued2008-
dc.identifier.citationAnnals of Operations Research, 2008; 159(1):433-450-
dc.identifier.issn0254-5330-
dc.identifier.issn1572-9338-
dc.identifier.urihttp://hdl.handle.net/2440/52692-
dc.descriptionThe original publication can be found at www.springerlink.com-
dc.description.abstractA number of algorithms have been developed for the optimization of power plant maintenance schedules. However, the true test of such algorithms occurs when they are applied to real systems. In this paper, the application of an Ant Colony Optimization formulation to a hydropower system is presented. The formulation is found to be effective in handling various constraints commonly encountered in practice. Overall, the results obtained using the ACO formulation are better than those given by traditional methods using engineering judgment, which indicates the potential of ACO in solving realistic power plant maintenance scheduling problems.-
dc.description.statementofresponsibilityWai Kuan Foong, Angus R. Simpson, Holger R. Maier and Stephen Stolp-
dc.language.isoen-
dc.publisherKluwer Academic Publishers-
dc.rights© Springer Science+Business Media, LLC 2007-
dc.source.urihttp://dx.doi.org/10.1007/s10479-007-0277-y-
dc.subjectPower plant maintenance scheduling-
dc.subjectHydropower-
dc.subjectHydroelectricity-
dc.subjectAnt colony optimization-
dc.subjectConstraints-
dc.subjectHeuristics-
dc.titleAnt colony optimization for power plant maintenance scheduling optimization - a five-station hydropower system-
dc.typeJournal article-
dc.identifier.doi10.1007/s10479-007-0277-y-
pubs.publication-statusPublished-
dc.identifier.orcidSimpson, A. [0000-0003-1633-0111]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
Appears in Collections:Aurora harvest 7
Civil and Environmental Engineering publications
Environment Institute publications

Files in This Item:
File Description SizeFormat 
hdl_52692.pdfAccepted version296.78 kBAdobe PDFView/Open


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