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dc.creatorIvetić, Damjan
dc.creatorVasilić, Željko
dc.creatorStanić, Miloš
dc.creatorProdanović, Dušan
dc.date.accessioned2019-04-19T14:26:02Z
dc.date.available2019-04-19T14:26:02Z
dc.date.issued2016
dc.identifier.issn1464-7141
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/789
dc.description.abstractTo optimize the design of a water distribution network (WDN), a large number of possible solutions need to be examined; hence computation efficiency is an important issue. To accelerate the computation, one can use more powerful computers, parallel computing systems with adapted hydraulic solvers, hybrid algorithms, more efficient hydraulic methods or any combination of these techniques. This paper explores the possibility to speed up optimization using variations of the Delta Q method to solve the network hydraulics. First, the Delta Q method was used inside the evaluation function where each tested alternative was hydraulically solved and ranked. Then, the convergence criterion was relived in order to reduce the computation time. Although the accuracy of the obtained hydraulic results was reduced, these were feasible and interesting solutions. Another modification was tested, where the Delta Q method was used just once to solve the hydraulics of the initial network, and the unknown flow corrections were added to the list of other unknown variables subject to optimization. Two case networks were used for testing and were compared to the results obtained using EPANET2. The obtained results have shown that the use of the Delta Q method in hydraulic computations can significantly accelerate the optimization of WDN.en
dc.publisherIWA Publishing
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37010/RS//
dc.rightsopenAccess
dc.sourceJournal of Hydroinformatics
dc.subjectDelta Q methoden
dc.subjectaccelerationen
dc.subjectefficiencyen
dc.subjectgenetic algorithmsen
dc.subjectlooped networksen
dc.subjectminimal basis loopsen
dc.titleSpeeding up the water distribution network design optimization using the Delta Q methoden
dc.typearticle
dc.rights.licenseARR
dc.citation.epage48
dc.citation.issue1
dc.citation.other18(1): 33-48
dc.citation.rankM22
dc.citation.spage33
dc.citation.volume18
dc.identifier.doi10.2166/hydro.2015.118
dc.identifier.fulltexthttps://grafar.grf.bg.ac.rs//bitstream/id/4170/787.pdf
dc.identifier.scopus2-s2.0-85000444131
dc.identifier.wos000374314400004
dc.type.versionpublishedVersion


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