Evaluation of genetic programming-based models for simulating friction factor in alluvial channels
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- @Article{Roushangar:2014:JH2,
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author = "Kiyoumars Roushangar and Dominique Mouaze and
Jalal Shiri",
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title = "Evaluation of genetic programming-based models for
simulating friction factor in alluvial channels",
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journal = "Journal of Hydrology",
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volume = "517",
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pages = "1154--1161",
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year = "2014",
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ISSN = "0022-1694",
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DOI = "doi:10.1016/j.jhydrol.2014.06.047",
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URL = "http://www.sciencedirect.com/science/article/pii/S0022169414005071",
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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.",
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keywords = "genetic algorithms, genetic programming, Alluvial
channel, Friction factor, Sensitivity analyses",
- }
Genetic Programming entries for
Kiyoumars Roushangar
Dominique Mouaze
Jalal Shiri
Citations