Determining equations for vegetation induced resistance using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Maarten Keijzer and Martin Baptist and 
                 Vladan Babovic and Javier {Rodriguez Uthurburu}",
  title =        "Determining equations for vegetation induced
                 resistance using genetic programming",
  booktitle =    "{GECCO 2005}: Proceedings of the 2005 conference on
                 Genetic and evolutionary computation",
  year =         "2005",
  editor =       "Hans-Georg Beyer and Una-May O'Reilly and 
                 Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and 
                 Eric W. Bonabeau and Erick Cantu-Paz and 
                 Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and 
                 Edwin D. {de Jong} and Hod Lipson and Xavier Llora and 
                 Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and 
                 Terence Soule and Andy M. Tyrrell and 
                 Jean-Paul Watson and Eckart Zitzler",
  volume =       "2",
  ISBN =         "1-59593-010-8",
  pages =        "1999--2006",
  address =      "Washington DC, USA",
  URL =          "",
  DOI =          "doi:10.1145/1068009.1068343",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, 10286-1405, USA",
  month =        "25-29 " # jun,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, Real World
                 Applications, equation induction, hydraulics,
                 hydrology, measurement units",
  notes =        "GECCO-2005 A joint meeting of the fourteenth
                 international conference on genetic algorithms
                 (ICGA-2005) and the tenth annual genetic programming
                 conference (GP-2005).

                 ACM Order Number 910052

                 7. CONCLUSIONS Four formulations for waterdepth-related
                 resistance induced by vegetation are studied and
                 compared. Two have been explicitly derived by a
                 scientist building upon the extensive literature on
                 this subject. One expression was derived by
                 dimensionally aware genetic programming, and finally
                 one expression was created by manually analysing and
                 improving the genetic programming equation. It was
                 found that the genetic programming equations were
                 superior to the manually derived equations, both on
                 their performance on synthetic training and laboratory
                 testing data, and in the economy of detail that needs
                 to be modelled. The manually improved expression was
                 found to be in good agreement with previous expressions
                 found in the literature, and performed competitive with
                 the detailed model that was used to generate the
                 training data.",

Genetic Programming entries for Maarten Keijzer Martin J Baptist Vladan Babovic Javier Rodriguez Uthurburu