Genetic programming in water resources engineering: A state-of-the-art review

•More than 150 papers dealing with applications of GP in water resource engineering were reviewed.•Fundamentals of GP variants were provided and compared with each other.•Selection ways of GP parameters were discussed.•Future scope of studies were demonstrated. The state-of-the-art genetic programmi...

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Published inJournal of hydrology (Amsterdam) Vol. 566; pp. 643 - 667
Main Authors Danandeh Mehr, Ali, Nourani, Vahid, Kahya, Ercan, Hrnjica, Bahrudin, Sattar, Ahmed M.A., Yaseen, Zaher Mundher
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.11.2018
Subjects
Genetic programming
Hydraulics
Hydroclimatology
Hydrology
Water resources engineering
ANN
NCEP
Hydraulics
WRE
SDSM
Hydroclimatology
SVR
CGCM
MLR
Genetic programming
ANFIS
Water resources engineering
SPAI
ENSO
MGGP
PMDI
AI
GP
GCM
Hydrology
GGP
GEP
LGP
SST
ARIMA
EQUINOO
DAGP
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Abstract •More than 150 papers dealing with applications of GP in water resource engineering were reviewed.•Fundamentals of GP variants were provided and compared with each other.•Selection ways of GP parameters were discussed.•Future scope of studies were demonstrated. The 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.
AbstractList •More than 150 papers dealing with applications of GP in water resource engineering were reviewed.•Fundamentals of GP variants were provided and compared with each other.•Selection ways of GP parameters were discussed.•Future scope of studies were demonstrated. The 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.
Author Yaseen, Zaher Mundher
Sattar, Ahmed M.A.
Kahya, Ercan
Danandeh Mehr, Ali
Nourani, Vahid
Hrnjica, Bahrudin
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  surname: Danandeh Mehr
  fullname: Danandeh Mehr, Ali
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  orcidid: 0000-0002-6931-7060
  surname: Nourani
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  organization: Hydraulics Division, Faculty of Civil Engineering, Istanbul Technical University. Istanbul, Turkey
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  givenname: Bahrudin
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  givenname: Ahmed M.A.
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  fullname: Sattar, Ahmed M.A.
  organization: Department of Irrigation and Hydraulics, Faculty of Engineering, Cairo University, Giza 12613, Egypt
– sequence: 6
  givenname: Zaher Mundher
  surname: Yaseen
  fullname: Yaseen, Zaher Mundher
  email: yaseen@tdt.edu.vn
  organization: Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
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Snippet •More than 150 papers dealing with applications of GP in water resource engineering were reviewed.•Fundamentals of GP variants were provided and compared with...
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SubjectTerms Genetic programming
Hydraulics
Hydroclimatology
Hydrology
Water resources engineering
Title Genetic programming in water resources engineering: A state-of-the-art review
URI https://dx.doi.org/10.1016/j.jhydrol.2018.09.043
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