A novel hybrid optimization model to determine optimum water resources for water supply of residential areas

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dc.authorid0000-0002-7035-7078en_US
dc.contributor.authorEryiğit, Miraç
dc.date.accessioned2024-06-07T08:20:22Z
dc.date.available2024-06-07T08:20:22Z
dc.date.issued2023en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractIn this study, a new hybrid model was improved by combining heuristic and numerical optimization algorithms to decide on optimum water resources based on their costs in the water supply. The purpose of the hybrid model is to reach a best result in the shortest time by simultaneously searching global and local minimums. Therefore, the steepest descent (SD) algorithm (numerical optimization method) was embedded in the classical modified clonal selection algorithm (the classical modified Clonalg) (one of artificial immune systems, heuristic optimization technique). This hybridization allows the SD algorithm to search local minimums while the classical modified Clonalg is searching a global minimum. The hybrid optimization model was applied to the cost objective function depending on distances and piezometric head differences between the water resources and destination. A scenario consists of five hypothetical water resources and one residential area/settlement. Herein, the aim is to satisfy the water demand of the residential area with a minimum cost from the water resources. The cost objective function was also minimized by the regular model (the classical model) according to the scenario, and their results were compared. Both models were run ten times for testing their stabilities. According to the results, the hybrid model is better than the regular model in terms of run time and stability. The hybrid model found a minimum cost for the water supply in a shorter time (in half) in comparison with the regular model in all runs.en_US
dc.identifier.citationEryiğit, M. (2023). A novel hybrid optimization model to determine optimum water resources for water supply of residential areas. Journal of Water Process Engineering, 55, 104087.en_US
dc.identifier.doi10.1016/j.jwpe.2023.104087
dc.identifier.endpage7en_US
dc.identifier.issn2214-7144
dc.identifier.scopus2-s2.0-85166314727en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jwpe.2023.104087
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12208
dc.identifier.volume55en_US
dc.identifier.wosWOS:001047647400001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorEryiğit, Miraç
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Water Process Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWater Resourcesen_US
dc.subjectWater Supplyen_US
dc.subjectHybriden_US
dc.subjectDistribution Networksen_US
dc.subjectGenetic Algorithmen_US
dc.subjectCost Designen_US
dc.titleA novel hybrid optimization model to determine optimum water resources for water supply of residential areasen_US
dc.typeArticleen_US

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