An evolutionary approach to knowledge induction: Genetic Programming in Hydraulic Engineering

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@InProceedings{me27,
  author =       "Vladan Babovic and Maarten Keijzer and 
                 David Rodriguez Aquilera and Joe Harrington",
  title =        "An evolutionary approach to knowledge induction:
                 Genetic Programming in Hydraulic Engineering",
  booktitle =    "Proceedings of the World Water and Environmental
                 Resources Congress",
  year =         "2001",
  editor =       "Don Phelps and Gerald Sehlke",
  volume =       "111",
  pages =        "64--64",
  address =      "Orlando, Florida, USA",
  month =        "20-24 " # may,
  publisher =    "ASCE",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.vu.nl/~mkeijzer/publications/ASCE_paper.pdf",
  URL =          "http://link.aip.org/link/?ASC/111/64/1",
  DOI =          "doi:10.1061/40569(2001)64",
  abstract =     "The process of scientific discovery has long been
                 viewed as the pinnacle of creative thought. Thus, to
                 many people, including some scientists themselves is
                 seems unlikely candidate for automation by computer.
                 However, over the past two decades researchers in AI
                 have repeatedly questioned this attitude. The paper
                 describes a specific evolutionary algorithm technique ?
                 genetic programming ? within a scientific discovery
                 framework, as well as its application on real world
                 data.",
  notes =        "World Water Congress 2001 number = 40569",
}

Genetic Programming entries for Vladan Babovic Maarten Keijzer David Rodriguez Aquilera Joe Harrington

Citations