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Optimal cost design of water distribution networks using a decomposition approach

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dc.contributor.authorLee, Ho Min-
dc.contributor.authorYoo, Do Guen-
dc.contributor.authorSadollah, Ali-
dc.contributor.authorKim, Joong Hoon-
dc.date.accessioned2021-09-04T05:17:38Z-
dc.date.available2021-09-04T05:17:38Z-
dc.date.created2021-06-18-
dc.date.issued2016-
dc.identifier.issn0305-215X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/90279-
dc.description.abstractWater distribution network decomposition, which is an engineering approach, is adopted to increase the efficiency of obtaining the optimal cost design of a water distribution network using an optimization algorithm. This study applied the source tracing tool in EPANET, which is a hydraulic and water quality analysis model, to the decomposition of a network to improve the efficiency of the optimal design process. The proposed approach was tested by carrying out the optimal cost design of two water distribution networks, and the results were compared with other optimal cost designs derived from previously proposed optimization algorithms. The proposed decomposition approach using the source tracing technique enables the efficient decomposition of an actual large-scale network, and the results can be combined with the optimal cost design process using an optimization algorithm. This proves that the final design in this study is better than those obtained with other previously proposed optimization algorithms.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.subjectHARMONY SEARCH ALGORITHM-
dc.subjectDISTRIBUTION-SYSTEM-DESIGN-
dc.subjectMULTIPLE SUPPLY SOURCES-
dc.subjectGENETIC ALGORITHMS-
dc.subjectSTRUCTURAL OPTIMIZATION-
dc.subjectEVOLUTION-
dc.subjectMODEL-
dc.subjectGRAPH-
dc.titleOptimal cost design of water distribution networks using a decomposition approach-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Joong Hoon-
dc.identifier.doi10.1080/0305215X.2016.1157689-
dc.identifier.scopusid2-s2.0-84964033511-
dc.identifier.wosid000385617100008-
dc.identifier.bibliographicCitationENGINEERING OPTIMIZATION, v.48, no.12, pp.2141 - 2156-
dc.relation.isPartOfENGINEERING OPTIMIZATION-
dc.citation.titleENGINEERING OPTIMIZATION-
dc.citation.volume48-
dc.citation.number12-
dc.citation.startPage2141-
dc.citation.endPage2156-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusHARMONY SEARCH ALGORITHM-
dc.subject.keywordPlusDISTRIBUTION-SYSTEM-DESIGN-
dc.subject.keywordPlusMULTIPLE SUPPLY SOURCES-
dc.subject.keywordPlusGENETIC ALGORITHMS-
dc.subject.keywordPlusSTRUCTURAL OPTIMIZATION-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusGRAPH-
dc.subject.keywordAuthorwater distribution network-
dc.subject.keywordAuthoroptimal cost design-
dc.subject.keywordAuthordecomposition approach-
dc.subject.keywordAuthorsource tracing-
dc.subject.keywordAuthorharmony search algorithm-
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