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

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