Determining equations for vegetation induced resistance using genetic programming

M Keijzer, MJ Baptist, V Babovic, J Rodriguez Uthurburu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

5 Citations (Scopus)


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 found 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.
Original languageUndefined/Unknown
Title of host publicationGECCO 2005: Proceedings of the 2005 conference on genetic and evolutionary computation
EditorsH Beyer, U O'Reilly, DV Arnold, W Banzhaf, C Blum, EW Bonabeau, E Cantu-Paz, D Dasgupta, K Deb, JA Foster, ED de Jong, H Lipson, X Llora, S Mancoridis, M Pelikan, GR Raidl, T Soule, AM Tyrrell, J Watson, E Zitzler
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Print)1-59593-010-8
Publication statusPublished - 2005
EventConference, Washington DC, USA - New York
Duration: 25 Jun 200529 Jun 2005

Publication series

PublisherACM Press


ConferenceConference, Washington DC, USA


  • conference contrib. non-refer.
  • Conf.proc. > 3 pag

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