Genetic programming as a model induction engine
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{babovic:1999:GPmie,
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author = "Vladan Babovic and Maarten Keijzer",
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title = "Genetic programming as a model induction engine",
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journal = "Journal of Hydroinformatics",
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year = "2000",
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volume = "1",
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number = "1",
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pages = "35--60",
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month = jan,
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keywords = "genetic algorithms, genetic programming, data mining,
knowledge discovery",
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ISSN = "1464-7141",
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URL = "http://jh.iwaponline.com/content/2/1/35",
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DOI = "doi:10.2166/hydro.2000.0004",
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broken = "http://www.iwaponline.com/jh/002/jh0020035.htm",
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size = "26 pages",
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abstract = "Present day instrumentation networks already provide
immense quantities of data, very little of which
provides any insights into the basic physical processes
that are occurring in the measured medium. This is to
say that the data by itself contributes little to the
knowledge of such processes. Data mining and knowledge
discovery aim to change this situation by providing
technologies that will greatly facilitate the mining of
data for knowledge. In this new setting the role of a
human expert is to provide domain knowledge, interpret
models suggested by the computer and devise further
experiments that will provide even better data
coverage. Clearly, there is an enormous amount of
knowledge and understanding of physical processes that
should not be just thrown away. Consequently, we
strongly believe that the most appropriate way forward
is to combine the best of the two approaches:
theory-driven, understanding-rich with data-driven
discovery process. This paper describes a particular
knowledge discovery algorithm Genetic Programming (GP).
Additionally, an augmented version of GP -
dimensionally aware GP - which is arguably more useful
in the process of scientific discovery is described in
great detail. Finally, the paper concludes with an
application of dimensionally aware GP to a problem of
induction of an empirical relationship describing the
additional resistance to flow induced by flexible
vegetation.",
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notes = "dimensionally aware GP. Additional river water flow
resistance caused by flexible vegetation closure and
strong typing (STGP). dimensionally aware brood
selection. Kutija-Hong model.",
- }
Genetic Programming entries for
Vladan Babovic
Maarten Keijzer
Citations