Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/45210
DC FieldValueLanguage
dc.contributor.authorYeh, Shung-Fuen_US
dc.contributor.authorChu, Chien-Weien_US
dc.contributor.authorChang, Yao-Jenen_US
dc.contributor.authorLin, Min-Deren_US
dc.contributor.otherNational Chung Hsing University,Department of Environmenral Engineeringen_US
dc.contributor.other國立中興大學環境工程學系zh_TW
dc.date2011-2zh_TW
dc.date.accessioned2014-06-06T08:14:42Z-
dc.date.available2014-06-06T08:14:42Z-
dc.identifier.issn0305-215Xzh_TW
dc.identifier.urihttp://hdl.handle.net/11455/45210-
dc.description.abstractOptimizations of sewer network designs create complicated and highly nonlinear problems wherein conventional optimization techniques often get easily bogged down in local optima and cannot successfully address such problems. In the past decades, heuristic algorithms possessing robust and efficient global search capabilities have helped to solve continuous and discrete optimization problems and have demonstrated considerable promise. This study applied tabu search (TS) and simulated annealing (SA) to the optimization of sewer network designs. For a case study, this article used the sewer network design of a central Taiwan township, which contains significantly varied elevations, and the optimal designs from TS and SA were compared with the original official design. The results show that, in contrast with the original design's failure to satisfy the minimum flow-velocity requirements, both TS and SA achieved least-cost solutions that also fulfilled all the constraints of the design criteria. According to the average performance of 200 trials, SA outperformed TS in both robustness and efficiency for solving sewer network optimization problems.en_US
dc.language.isoen_USzh_TW
dc.publisherTaylor & Francisen_US
dc.relationEngineering Optimization, Volume 43, Issue 2, Page(s) 159-174.en_US
dc.subjectsewer networken_US
dc.subjectoptimizationen_US
dc.subjecttabu searchen_US
dc.subjectsimulated annealingen_US
dc.titleApplying tabu search and simulated annealing to the optimal design of sewer networksen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1080/0305215X.2010.482989zh_TW
dc.contributor.catalogerMiao-zhen Luoen_US
item.openairetypeJournal Article-
item.fulltextno fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en_US-
Appears in Collections:環境工程學系所
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