Issues in optimal parameter estimation for the nonlinear Muskingum flood routing model
DC Field | Value | Language |
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dc.contributor.author | Geem, Zong Woo | - |
dc.date.available | 2020-02-28T17:46:27Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2014-03-04 | - |
dc.identifier.issn | 0305-215X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12767 | - |
dc.description.abstract | This study answers two questions raised in the parameter estimation optimization for the nonlinear Muskingum flood routing model. The first question is whether a new global optimum was still found after the existing global optimum had already been found. In order to fairly verify this question, a standard routing procedure for the nonlinear Muskingum model, which has not been clearly described previously, is proposed. Because the routing procedure was coded in a spreadsheet, any researcher can easily test it after downloading it. The second question is the reason why various approaches, such as Lagrange multiplier, Broyden-Fletcher-Goldfarb-Shanno (BFGS), genetic algorithm, harmony search and particle swarm optimization, have tackled only Wilson's data set as the parameter estimation optimization for the nonlinear Muskingum model, because Wilson's data have a unique structure which is differentiated from other data sets. This study also provides various data sets to compare. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.relation.isPartOf | ENGINEERING OPTIMIZATION | - |
dc.subject | HARMONY SEARCH | - |
dc.subject | ALGORITHM | - |
dc.title | Issues in optimal parameter estimation for the nonlinear Muskingum flood routing model | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000329199600003 | - |
dc.identifier.doi | 10.1080/0305215X.2013.768242 | - |
dc.identifier.bibliographicCitation | ENGINEERING OPTIMIZATION, v.46, no.3, pp.328 - 339 | - |
dc.identifier.scopusid | 2-s2.0-84897909161 | - |
dc.citation.endPage | 339 | - |
dc.citation.startPage | 328 | - |
dc.citation.title | ENGINEERING OPTIMIZATION | - |
dc.citation.volume | 46 | - |
dc.citation.number | 3 | - |
dc.contributor.affiliatedAuthor | Geem, Zong Woo | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | parameter estimation | - |
dc.subject.keywordAuthor | nonlinear Muskingum model | - |
dc.subject.keywordAuthor | flood routing | - |
dc.subject.keywordAuthor | optimization | - |
dc.subject.keywordPlus | HARMONY SEARCH | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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