Velocity predictions in compound channels with vegetated floodplains using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Harris:2003:IJRBM,
  author =       "E. L. Harris and V. Babovic and R. A. Falconer",
  title =        "Velocity predictions in compound channels with
                 vegetated floodplains using genetic programming",
  journal =      "International Journal of River Basin Management",
  year =         "2003",
  volume =       "1",
  number =       "2",
  pages =        "117--123",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computation, hydrodynamic processes, floodplain
                 vegetation",
  ISSN =         "1571-5124",
  DOI =          "doi:10.1080/15715124.2003.9635198",
  size =         "7 pages",
  abstract =     "Data collection and storage methods have improved
                 vastly over recent years, however the processes of
                 information and knowledge extraction from data have not
                 mirrored this. The application of computer supported
                 scientific knowledge discovery processes to carefully
                 collected observations aims to improve the
                 understanding of the processes that generated or
                 produced these data. In this paper, these new
                 techniques have been applied to the complex and poorly
                 understood phenomena of flow through idealised
                 vegetation. The ability to predict, with improved
                 accuracy, velocities within wetlands and other
                 vegetated areas would be advantageous as these regions
                 are increasingly being recognised for their natural
                 flood alleviation properties.

                 In this study, laboratory data collected in a flume
                 with steady flows over a deep channel with relatively
                 shallow vegetated floodplains were used to induce the
                 formulation of expressions using a data driven
                 discovery technique, namely genetic programming (GP).
                 The objective of the study was not only to gain an
                 understanding of the effect of vegetation on velocity
                 distributions across a channel but moreover to
                 demonstrate an alternative discovery process. The
                 performance of the genetic program is reported for
                 three variations of the GP. The reported results of the
                 experiments were found to be encouraging and further
                 work is detailed.",
  notes =        "PhD 2003 Environmental Hydroinformatics Tools for
                 Water Quality Management",
}

Genetic Programming entries for Emma Lowri Harris Vladan Babovic Roger A Falconer

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