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Handbook of Genetic Programming Applications pp 71–97Cite as

Application of Gene-Expression Programming in Hydraulic Engineering

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Abstract

Open-channel hydraulics, probably, is most important branch of water resources engineering. This sub-discipline has vital and critical importance to human history. Complex and highly nonlinear behavior of most problems in hydraulics leads to use various soft computing techniques for their efficient solution. Genetic programming (GP) is relatively one of the new soft computing techniques which have high ability in developing intelligent systems and providing precise functional relationship solutions to complicated problems. Capability of GP in solving many engineering problems, development and application of GP branches has attracted many researchers’ attention. Gene-Expression Programming (GEP) is becoming an important class of GP, which has found extensive applications for hydraulic engineering. GEP is an evolutionary algorithm that mimics biological evolution to model some complicated real world phenomenon. In this book chapter, attempts were made to present a review of application and development of GEP in many hydraulics phenomena. The literature review categorize in various aspects of hydraulic engineering including flow through hydraulic structures, scouring at control structures and stage-discharge rating curve in compound open channels.

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Author information

Authors and Affiliations

  1. Department of Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

    A. Zahiri & A. A. Dehghani

  2. Faculty of Engineering, University of Tabuk, Tabuk, Saudi Arabia

    H. Md. Azamathulla (Associate Professor of Civil Engineering)

Authors
  1. A. Zahiri
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  2. A. A. Dehghani
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  3. H. Md. Azamathulla
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Correspondence to A. Zahiri .

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Editors and Affiliations

  1. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, USA

    Amir H. Gandomi

  2. Department of Civil & Environmental Engineering, Michigan State University, East Lansing, Michigan, USA

    Amir H. Alavi

  3. Department of Computer Science and Information Systems, University of Limerick, Limerick, Limerick, Ireland

    Conor Ryan

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Zahiri, A., Dehghani, A.A., Azamathulla, H.M. (2015). Application of Gene-Expression Programming in Hydraulic Engineering. In: Gandomi, A., Alavi, A., Ryan, C. (eds) Handbook of Genetic Programming Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-20883-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-20883-1_4

  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-20883-1

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