Studying the Optimal Parameter Range of Values in PADGP by Means of Real-life Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{fernandez:2001:soprvpmrp,
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author = "F. Fernandez and M. Tomassini",
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title = "Studying the Optimal Parameter Range of Values in
PADGP by Means of Real-life Problems",
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booktitle = "Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001",
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year = "2001",
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pages = "436--441",
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address = "COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "27-30 " # may,
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organisation = "IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, Parallel
Genetic Programming, FPGA, PADGP, Parallel and
Distributed Genetic Programming, optimal parameter
range, simulation, distributed algorithms, parallel
algorithms",
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ISBN = "0-7803-6658-1",
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DOI = "doi:10.1109/CEC.2001.934424",
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abstract = "We present a study on a couple of real-life problems
using Parallel and Distributed Genetic Programming
(PADGP). The aim is to confirm the presence of an
optimal parameter range of values, which has been
observed on benchmark problems. This range of values
establishes a relationship between two important
parameters in PADGP: the number of individuals and the
total number of subpopulations we use when solving a
problem. The simulations presented confirm the
existence of the optimal parameter range of values
which allows us to extend conclusions about the
existence of this region for different classes of
problems, and thus to link different PADGP and also GP
parameters",
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notes = "CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number =",
- }
Genetic Programming entries for
Francisco Fernandez de Vega
Marco Tomassini
Citations