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dc.contributor.authorTayfur, Gökmen
dc.date.accessioned2017-11-15T13:24:34Z
dc.date.available2017-11-15T13:24:34Z
dc.date.issued2017-08
dc.identifier.citationTayfur, G. (2017). Modern optimization methods in water resources planning, engineering and management. Water Resources Management, 31(10), 3205-3233. doi:10.1007/s11269-017-1694-6en_US
dc.identifier.issn0920-4741
dc.identifier.urihttp://doi.org/10.1007/s11269-017-1694-6
dc.identifier.urihttp://hdl.handle.net/11147/6467
dc.description.abstractMathematical (analytical, numerical and optimization) models are employed in many disciplines including the water resources planning, engineering and management. These models can vary from a simple black-box model to a sophisticated distributed physics-based model. Recently, development and employment of modern optimization methods (MOMs) have become popular in the area of mathematical modeling. This paper overviews the MOMs based on the evolutionary search which were developed over mostly the last 30 years. These methods have wide application in practice from finance to engineering and this paper focuses mostly on the applications in the area of water resources planning, engineering and management. Although there are numerous optimization algorithms, the paper outlines the ones that have been widely employed especially in the last three decades; such as the Genetic Algorithm (GA), Ant Colony (AC), Differential Evolution (DE), Particle Swarm (PS), Harmony Search (HS), Genetic Programming (GP), and Gene Expression Programming (GEP). The paper briefly introduces theoretical background of each algorithm and its applications and discusses the merits and, if any, shortcomings. The wide spectrum of applications include, but not limited to, flood control and mitigation, reservoir operation, irrigation, flood routing, river training, flow velocity, rainfall-runoff processes, sediment transport, groundwater management, water quality, hydropower, dispersion, and aquifers.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/s11269-017-1694-6en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnt colonyen_US
dc.subjectWater resourcesen_US
dc.subjectWater resources managementen_US
dc.subjectDifferential evolutionen_US
dc.subjectGenetic algorithmsen_US
dc.subjectHarmony searchen_US
dc.titleModern optimization methods in water resources planning, engineering and managementen_US
dc.typearticleen_US
dc.contributor.authorIDTR2054en_US
dc.contributor.institutionauthorTayfur, Gökmen
dc.relation.journalWater Resources Managementen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume31en_US
dc.identifier.issue10en_US
dc.identifier.startpage3205en_US
dc.identifier.endpage3233en_US
dc.identifier.wosWOS:000403791300020
dc.identifier.scopusSCOPUS:2-s2.0-85019226946
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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