Evaluation of genetic programming-based models for simulating friction factor in alluvial channels

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@Article{Roushangar:2014:JH2,
  author =       "Kiyoumars Roushangar and Dominique Mouaze and 
                 Jalal Shiri",
  title =        "Evaluation of genetic programming-based models for
                 simulating friction factor in alluvial channels",
  journal =      "Journal of Hydrology",
  volume =       "517",
  pages =        "1154--1161",
  year =         "2014",
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2014.06.047",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0022169414005071",
  abstract =     "Summary The bed resistance is one of the most complex
                 aspects of water flow studies in natural streams. Most
                 of the existing non-linear formulae for describing
                 alluvial channel flows are based on dimensional
                 analysis and statistical fitting of data to the
                 parameters considered in the functional relationships
                 implicitly, which are partially valid. The present
                 study aims at developing genetic programming (GP) -
                 based formulation of Manning roughness coefficient in
                 alluvial channels. The training and testing data are
                 selected from original experiments, performed in a
                 hydraulic flume using a sand mobile bed. A comparison
                 was also made between GP and traditional nonlinear
                 approaches of resistance modelling. The obtained
                 results revealed the GP capability in modeling
                 resistance coefficient of alluvial channels' bed.",
  keywords =     "genetic algorithms, genetic programming, Alluvial
                 channel, Friction factor, Sensitivity analyses",
}

Genetic Programming entries for Kiyoumars Roushangar Dominique Mouaze Jalal Shiri

Citations