Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35884
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dc.contributor.authorBroad, D.en
dc.contributor.authorDandy, G.en
dc.contributor.authorMaier, H.en
dc.contributor.authorNixon, J.en
dc.date.issued2006en
dc.identifier.citationIEEE Congress on Evolutionary Computation, 16-21 July, 2006:pp.710-717en
dc.identifier.isbn0780394879en
dc.identifier.isbn9780780394872en
dc.identifier.urihttp://hdl.handle.net/2440/35884-
dc.descriptionCopyright 2006 IEEEen
dc.description.abstractMetamodels can be used to aid in improving the efficiency of computationally expensive optimization algorithms in a variety of applications, including water distribution system (WDS) design and operation. Genetic Algorithm (GA)-based optimization of WDSs is very computationally expensive to optimize a system in a practical amount of time for real-sized problems. A metamodel, of which Artificial Neural Networks (ANNs) are an example, is a model of a complex simulation model. It can be used in place of the simulation model where repeated use is necessary, such as when carrying out GA optimization. To complement the ANN-GA, six local search algorithms have been developed or applied in this research, with the aim of improving the performance of metamodel-based optimization of WDSs. All algorithms performed well, however, using computational intensity as a criterion with which to evaluate results, the best local search algorithms were Sequential Downward Mutation (SDM) and Maximum Savings Downward Mutation (MSDM).en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesIEEE Congress on Evolutionary Computationen
dc.titleImproving metamodel-based optimization of water distribution systems with local searchen
dc.typeConference paperen
dc.identifier.rmid0020062796en
dc.contributor.conferenceIEEE Congress on Evolutionary Computation (2006 : Vancouver, B.C.)en
dc.identifier.doi10.1109/CEC.2006.1688381en
dc.publisher.placeCDROMen
dc.identifier.pubid51360-
pubs.library.collectionCivil and Environmental Engineering publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]en
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]en
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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