Experimental Study of Multipopulation Parallel Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{fernandez:2000:esmpGP,
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author = "F. Fernandez and M. Tomassini and
W. F. {Punch III} and J. M. Sanchez",
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title = "Experimental Study of Multipopulation Parallel Genetic
Programming",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
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year = "2000",
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editor = "Riccardo Poli and Wolfgang Banzhaf and
William B. Langdon and Julian F. Miller and Peter Nordin and
Terence C. Fogarty",
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volume = "1802",
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series = "LNCS",
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pages = "283--293",
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address = "Edinburgh",
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publisher_address = "Berlin",
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month = "15-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-67339-3",
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URL = "http://garage.cse.msu.edu/papers/GARAGe00-03-01.pdf",
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URL = "http://citeseer.ist.psu.edu/445504.html",
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DOI = "doi:10.1007/978-3-540-46239-2_21",
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size = "11 pages",
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abstract = "The parallel execution of several populations in
evolutionary algorithms has usually given good results.
Nevertheless, researchers have to date drawn
conflicting conclusions when using some of the parallel
genetic programming models. One aspect of the conflict
is population size, since published GP works do not
agree about whether to use large or small populations.
This paper presents an experimental study of a number
of common GP test problems. Via our experiments, we
discovered that an optimal range of values exists. This
assists us in our choice of population size and in the
selection of an appropriate parallel genetic
programming model. Finding efficient parameters helps
us to speed up our search for solutions. At the same
time, it allows us to locate features that are common
to parallel genetic programming and the classic genetic
programming technique.",
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notes = "EuroGP'2000, part of \cite{poli:2000:GP}",
- }
Genetic Programming entries for
Francisco Fernandez de Vega
Marco Tomassini
William F Punch
Juan Manuel Sanchez Perez
Citations