Gene-expression programming for transverse mixing coefficient

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@Article{Azamathulla2012142,
  author =       "H. Md. Azamathulla and Z. Ahmad",
  title =        "Gene-expression programming for transverse mixing
                 coefficient",
  journal =      "Journal of Hydrology",
  volume =       "434-435",
  pages =        "142--148",
  year =         "2012",
  month =        apr,
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2012.02.018",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0022169412001187",
  keywords =     "genetic algorithms, genetic programming, Transverse
                 mixing, Open channel flow, gene expression programming,
                 River systems",
  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