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dc.contributor.authorPuleo, V.
dc.contributor.authorMorley, Mark S.
dc.contributor.authorFreni, G.
dc.contributor.authorSavic, Dragan
dc.date.accessioned2014-09-04T13:16:55Z
dc.date.issued2014
dc.description.abstractThis study presents a methodology based on Linear Programming for determining the optimal pump schedule on a 24-hour basis, considering as decision variables the continuous pump flow rates which are subsequently transformed into a discrete schedule. The methodology was applied on a case study derived from the benchmark Anytown network. To evaluate the LP reliability, a comparison was made with solutions generated by a Hybrid Discrete Dynamically Dimensioned Search (HD-DDS) algorithm. The cost associated with the result derived from the LP initial solution was shown to be lower than that obtained with repeated HD-DDS runs with differing random seeds.en_GB
dc.identifier.citationVol. 70, pp. 1378 - 1385en_GB
dc.identifier.doi10.1016/j.proeng.2014.02.152
dc.identifier.urihttp://hdl.handle.net/10871/15439
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttp://dx.doi.org/10.1016/j.proeng.2014.02.152en_GB
dc.rightsPublished under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) licence: http://creativecommons.org/licenses/by-nc-nd/3.0/en_GB
dc.subjectPump schedulingen_GB
dc.subjectOptimizationen_GB
dc.subjectLinear Programmingen_GB
dc.subjectHD-DDSen_GB
dc.titleMulti-stage linear programming optimization for pump schedulingen_GB
dc.typeArticleen_GB
dc.typeConference paperen_GB
dc.date.available2014-09-04T13:16:55Z
dc.identifier.issn1877-7058
dc.descriptionOpen Access journalen_GB
dc.descriptionCopyright © 2013 The Authors. Published by Elsevier Ltd.en_GB
dc.description12th International Conference on Computing and Control for the Water Industry, CCWI2013en_GB
dc.identifier.journalProcedia Engineeringen_GB


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