Gene-expression programming for transverse mixing coefficient
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- @Article{Azamathulla2012142,
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author = "H. Md. Azamathulla and Z. Ahmad",
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title = "Gene-expression programming for transverse mixing
coefficient",
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journal = "Journal of Hydrology",
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volume = "434-435",
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pages = "142--148",
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year = "2012",
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month = apr,
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ISSN = "0022-1694",
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DOI = "doi:10.1016/j.jhydrol.2012.02.018",
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URL = "http://www.sciencedirect.com/science/article/pii/S0022169412001187",
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keywords = "genetic algorithms, genetic programming, Transverse
mixing, Open channel flow, gene expression programming,
River systems",
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abstract = "This study presents gene-expression programming (GEP),
which is an extension of genetic programming (GP), as
an alternative approach to predict the transverse
mixing coefficient in open channel flows. Laboratory
data were collected in the present study and also from
the literature for the transverse mixing coefficient
covering wide range of flow conditions. These data were
used for the development and testing of the proposed
method. A functional relation for the estimation of
transverse mixing coefficient has been developed using
GEP. The proposed GEP approach produced satisfactory
results compared to the existing predictors for the
transverse mixing coefficient.",
- }
Genetic Programming entries for
Hazi Mohammad Azamathulla
Z Ahmad
Citations