Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/10123
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ayvaz, Mustafa Tamer | - |
dc.contributor.author | Kentel, Elçin | - |
dc.date.accessioned | 2019-08-16T13:11:56Z | |
dc.date.available | 2019-08-16T13:11:56Z | |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0733-9496 | - |
dc.identifier.uri | https://hdl.handle.net/11499/10123 | - |
dc.identifier.uri | https://doi.org/10.1061/(ASCE)WR.1943-5452.0000473 | - |
dc.description.abstract | A fuzzy decision-making framework (DMF) is combined with a hybrid genetic algorithm-linear programming (GA-LP) optimization approach to determine the best booster station network for a water distribution system. The proposed hybrid GA-LP model simultaneously optimizes two conflicting objectives; namely, minimization of total chlorine injection dosage and the number of booster stations. At the same time, residual chlorine concentrations are kept within desired limits. Adjustment of the relative importance of two conflicting objectives results in different optimal solutions. Selection of the best alternative among these optimal solutions is performed through a fuzzy multiobjective DMF. The proposed DMF allows incorporation of the decision makers' preferences into the booster station network design. In this study, three fuzzy objectives are selected based on economic, operational, and health-related concerns. The hybrid GA-LP model is applied to a case study, and results show that the proposed methodology is effective in maintaining chlorine residuals within desired limits networkwide while minimizing the total chlorine injection, and the fuzzy DMF is a useful tool for incorporating the case specific limitations into the decision process. © 2014 American Society of Civil Engineers. | en_US |
dc.language.iso | en | en_US |
dc.publisher | American Society of Civil Engineers (ASCE) | en_US |
dc.relation.ispartof | Journal of Water Resources Planning and Management | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Booster station network | en_US |
dc.subject | Fuzzy decision making | en_US |
dc.subject | Hybrid genetic algorithm-linear programming (GA-LP) model | en_US |
dc.subject | Residual chlorine | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Chlorine | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Linear programming | en_US |
dc.subject | Optimal systems | en_US |
dc.subject | Water distribution systems | en_US |
dc.subject | Water supply systems | en_US |
dc.subject | Chlorine residuals | en_US |
dc.subject | Conflicting objectives | en_US |
dc.subject | Fuzzy Decision making | en_US |
dc.subject | Hybrid genetic algorithms | en_US |
dc.subject | Optimal solutions | en_US |
dc.subject | Optimization approach | en_US |
dc.subject | Residual chlorines | en_US |
dc.subject | Station network | en_US |
dc.subject | Decision making | en_US |
dc.subject | chlorine | en_US |
dc.subject | concentration (composition) | en_US |
dc.subject | decision making | en_US |
dc.subject | distribution system | en_US |
dc.subject | fuzzy mathematics | en_US |
dc.subject | identification method | en_US |
dc.subject | residual flow | en_US |
dc.subject | water resource | en_US |
dc.title | Identification of the best booster station network for a water distribution system | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 141 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.doi | 10.1061/(ASCE)WR.1943-5452.0000473 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-84988269469 | en_US |
dc.identifier.wos | WOS:000354098900007 | en_US |
dc.identifier.scopusquality | Q1 | - |
dc.owner | Pamukkale University | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
24
checked on Nov 16, 2024
WEB OF SCIENCETM
Citations
17
checked on Nov 16, 2024
Page view(s)
56
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.