Dynamics of Genetic Programming and Chaotic Time Series Prediction
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{mulloy:1996:dGPctsp,
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author = "Brian S. Mulloy and Rick L. Riolo and
Robert S. Savit",
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title = "Dynamics of Genetic Programming and Chaotic Time
Series Prediction",
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booktitle = "Genetic Programming 1996: Proceedings of the First
Annual Conference",
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editor = "John R. Koza and David E. Goldberg and
David B. Fogel and Rick L. Riolo",
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year = "1996",
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month = "28--31 " # jul,
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keywords = "genetic algorithms, genetic programming",
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pages = "166--174",
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address = "Stanford University, CA, USA",
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publisher = "MIT Press",
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URL = "http://www.pscs.umich.edu/reprints/pscs-96-001.ps.gz",
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URL = "http://citeseer.ist.psu.edu/517385.html",
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size = "9 pages",
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abstract = "An investigation into the dynamics of Genetic
Programming applied to chaotic time series prediction
is reported. An interesting characteristic of adaptive
search techniques is their ability to perform well in
many problem domains while failing in others. Because
of Genetic Programming's flexible tree structure, any
particular problem can be represented in myriad forms.
These representations have variegated effects on search
performance. Therefore, an aspect of fundamental
engineering significance is to find a representation
which, when acted upon by Genetic Programming
operators, optimizes search performance. We discover,
in the case of chaotic time series prediction, that the
representation commonly used in this domain does not
yield optimal solutions. Instead, we find that the
population converges onto one ``accurately
replicating'' tree before other trees can be explored.
To correct for this premature convergence we make a
simple modification to the crossover operator. In this
paper we review previous work with GP time series
prediction, pointing out an anomalous result related to
overlearning, and report the improvement effected by
our modified crossover operator.",
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URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap20.pdf",
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URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
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notes = "GP-96",
- }
Genetic Programming entries for
Brian S Mulloy
Rick L Riolo
Robert S Savit
Citations