Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming

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

@InProceedings{Chadalawada:2014:HIC,
  author =       "Jayashree Chadalawada and Vladan Babovic",
  title =        "Induction Of Governing Differential Equations From
                 Hydrologic Time Series Data Using Genetic Programming",
  booktitle =    "11th International Conference on Hydroinformatics",
  year =         "2014",
  address =      "New York, USA",
  month =        aug # " 17-21",
  organisation = "IAHR/IWA Joint Committee on Hydroinformatics",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-692-28129-1",
  URL =          "http://www.hic2014.org/xmlui/Chadalawada_2014_HIC.pdf",
  size =         "8 pages",
  abstract =     "This contribution describes an evolutionary method for
                 identifying causal model from the observed time-series
                 data. In the present case, we use a system of ordinary
                 differential equations (ODEs) as the causal model.
                 Usefulness of the approach is demonstrated on
                 real-world time series of hydrologic processes and the
                 unknown function of governing factors are determined.
                 To explore the evolutionary search space more
                 effectively, the right hand sides of ODEs are inferred
                 by genetic programming (GP). The importance of
                 different fitness criteria, as well as introduction of
                 background knowledge about underlying processes are
                 also being discussed and assessed. The method is
                 applied on several cases and empirically demonstrated
                 how successfully GP infers the systems of ODEs.",
  notes =        "http://www.hic2014.org/xmlui/",
}

Genetic Programming entries for Jayashree Chadalawada Vladan Babovic

Citations