Gene-expression programming to predict scour at a bridge abutment

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "H. Md. Azamathulla",
  title =        "Gene-expression programming to predict scour at a
                 bridge abutment",
  journal =      "Journal of Hydroinformatics",
  year =         "2012",
  volume =       "14",
  number =       "2",
  pages =        "324--331",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, artificial neural networks,
                 bridge abutments, local scour, radial basis function",
  ISSN =         "1464-7141",
  URL =          "",
  DOI =          "doi:10.2166/hydro.2011.135",
  size =         "8 pages",
  abstract =     "The process involved in the local scour at an abutment
                 is so complex that it makes it difficult to establish a
                 general empirical model to provide accurate estimation
                 for scour. This study presents the use of
                 gene-expression programming (GEP), which is an
                 extension of genetic programming (GP), as an
                 alternative approach to estimate the scour depth. The
                 datasets of laboratory measurements were collected from
                 the published literature and used to train the network
                 or evolve the program. The developed network and
                 evolved programs were validated by using the
                 observations that were not involved in training. The
                 proposed GEP approach gives satisfactory results
                 compared with existing predictors and artificial neural
                 network (ANN) modelling in predicting the scour depth
                 at an abutment.",
  notes =        "ANN, RBF. 'The overall performance of the GEP model is
                 superior to the ANN model.' p330",

Genetic Programming entries for Hazi Mohammad Azamathulla