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dc.contributor.authorDanandeh Mehr, Ali
dc.contributor.authorNourani, Vahid
dc.contributor.authorKahya, Ercan
dc.contributor.authorHrnjica, Bahrudin
dc.contributor.authorSattar, Ahmed M. A.
dc.date.accessioned2019-09-25T12:38:52Z
dc.date.available2019-09-25T12:38:52Z
dc.date.issued2018
dc.identifier.citationDanandeh Mehr, A., Nourani, V., Kahya, E., Hrnjica, B., Sattar, A. M. A., & Yaseeng, Z.M. (2018). Genetic programming in water resources engineering: A state-of-the-art review. Journal of Hydrology, 566, 643-667.en_US
dc.identifier.issn0022-1694
dc.identifier.urihttp://hdl.handle.net/20.500.12566/71
dc.description.abstractThe state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and undergone speedy advancements. A number of studies have demonstrated the advantage of GP to solve many practical problems associated with water resources engineering (WRE). GP has a unique feature of introducing explicit models for nonlinear processes in the WRE, which can provide new insight into the understanding of the process. Considering continuous growth of GP and its importance to both water industry and academia, this paper presents a comprehensive review on the recent progress and applications of GP in the WRE fields. Our review commences with brief explanations on the fundamentals of classic GP and its advanced variants (including multigene GP, linear GP, gene expression programming, and grammar-based GP), which have been proven to be useful and frequently used in the WRE. The representative papers having wide range of applications are clustered in three domains of hydrological, hydraulic, and hydroclimatological studies, and outlined or discussed at each domain. Finally, this paper was concluded with discussions of the optimum selection of GP parameters and likely future research directions in the WRE are suggested.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic programmingen_US
dc.subjectHydrologyen_US
dc.subjectHydraulicsen_US
dc.subjectHydroclimatologyen_US
dc.subjectWater resources engineeringen_US
dc.subjectGenetik programlamatr_TR
dc.subjectHidrolojitr_TR
dc.subjectHidroliktr_TR
dc.subjectHidroklimatolojitr_TR
dc.subjectSu kaynakları mühendisliğitr_TR
dc.titleGenetic programming in water resources engineering: a state-of-the-art reviewen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.identifier.wosWOS:000449901100050
dc.identifier.scopus2-s2.0-85054299104
dc.identifier.volume566
dc.identifier.startpage643
dc.identifier.endpage667
dc.contributor.orcid0000-0003-2769-106X [Danandeh Mehr, Ali]
dc.contributor.abuauthorDanandeh Mehr, Ali
dc.contributor.yokid275430 [Danandeh Mehr, Ali]
dc.contributor.ScopusAuthorID55899085700 [Danandeh Mehr, Ali]
dc.identifier.doi10.1016/j.jhydrol.2018.09.043


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