Prediction of end-depth ratio in open channels using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "S. Sharifi and M. Sterling and D. W. Knight",
  title =        "Prediction of end-depth ratio in open channels using
                 genetic programming",
  journal =      "Journal of Hydroinformatics",
  year =         "2010",
  volume =       "13",
  number =       "1",
  pages =        "36--48",
  keywords =     "genetic algorithms, genetic programming, data
                 modelling, evolutionary algorithms, free overfall, open
                 channel flow",
  ISSN =         "1464-7141",
  URL =          "",
  DOI =          "doi:10.2166/hydro.2010.087",
  size =         "13 pages",
  abstract =     "In this paper, genetic programming (GP) is used as an
                 effective model induction tool to solve a classic
                 problem in open channel flow: the free over fall. By
                 applying GP to experimental data of circular channels
                 with a flat bed and employing a model selection
                 procedure, a reliable expression in the form of h_c = A
                 h_e exp(B sqrt(S_0)) is found for calculating the
                 critical depth (hc) and end-depth ratio (EDR). Further
                 effort is made to verify the applicability and
                 superiority of this expression for channels with other
                 cross sections. This global expression not only
                 outperforms other expressions in estimating the
                 critical depth, it is also dimensionally correct
                 (unlike some other applications of GP) and can be used
                 for channels with any cross-section and any flow
  notes =        "nappe, waterfall, weir, brink edge section part
                 region. Sterling 1998. 2 foot by 1 foot cross section
                 70 foot long. GPLAB matlab.

                 page 47: '1. The expression appears to be universal and
                 as such can be applied to channels with different
                 geometries and flow regimes (subcritical and

                 2. The expression is dimensionally correct.

                 3. Its overall performance is better than any other
                 proposed empirical relationship.'",

Genetic Programming entries for Soroosh Sharifi Mark Sterling Donald W Knight