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dc.contributor.authorLiu, H
dc.contributor.authorShoemaker, C
dc.contributor.authorJiang, Y
dc.contributor.authorFu, G
dc.contributor.authorZhang, C
dc.date.accessioned2020-06-22T08:40:50Z
dc.date.issued2020
dc.description.abstractThis paper develops a new domain knowledge-based initial design method for optimization of water distribution network design. The new initial water distribution network design method, termed as Headloss-based Design Preconditioner (HDP), is based on headloss analysis in the supplying path from source to user. The new HDP-preconditioned search is compared with two algorithms: one preconditioned on a velocity-based initial design method and a simple genetic algorithm without preconditioning. The results show the HDP headloss-based method outperforms the Prescreened Heuristic Sampling Method (PHSM) in terms of the quality of the initial solutions and computational efficiency on all three cases. HDP also outperforms stochastic initialization on two of the three cases. The results obtained imply that the proposed domain knowledge-based design method HDP would be able to also provide effective starting conditions for other optimization algorithms besides genetic algorithm for large water distribution systems since most optimization methods are greatly assisted by a good starting conditionen_GB
dc.identifier.citationAwaiting citation and DOIen_GB
dc.identifier.urihttp://hdl.handle.net/10871/121569
dc.language.isoenen_GB
dc.publisherAmerican Society of Civil Engineersen_GB
dc.rights.embargoreasonUnder temporary indefinite embargo pending publication. No embargo required on publicationen_GB
dc.subjectWater distribution networken_GB
dc.subjectpreconditioningen_GB
dc.subjectoptimizationen_GB
dc.subjectdesignen_GB
dc.titlePreconditioning water distribution network optimization with headloss-based design methoden_GB
dc.typeArticleen_GB
dc.date.available2020-06-22T08:40:50Z
dc.identifier.issn0733-9496
dc.descriptionThis is the author accepted manuscripten_GB
dc.identifier.journalJournal of Water Resources Planning and Managementen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2020-06-19
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-06-19
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-06-20T08:32:02Z
refterms.versionFCDAM
refterms.panelBen_GB


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