Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming
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- @InProceedings{Chadalawada:2014:HIC,
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author = "Jayashree Chadalawada and Vladan Babovic",
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title = "Induction Of Governing Differential Equations From
Hydrologic Time Series Data Using Genetic Programming",
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booktitle = "11th International Conference on Hydroinformatics",
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year = "2014",
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address = "New York, USA",
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month = aug # " 17-21",
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organisation = "IAHR/IWA Joint Committee on Hydroinformatics",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-0-692-28129-1",
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URL = "http://www.hic2014.org/xmlui/Chadalawada_2014_HIC.pdf",
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size = "8 pages",
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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.",
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notes = "Broken June 2021 http://www.hic2014.org/xmlui/",
- }
Genetic Programming entries for
Jayashree Chadalawada
Vladan Babovic
Citations