Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{feldt:2000:feeeGP,
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author = "Robert Feldt and Peter Nordin",
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title = "Using Factorial Experiments to Evaluate the Effect of
Genetic Programming Parameters",
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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 = "271--282",
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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://citeseer.ist.psu.edu/325152.html",
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URL = "http://drfeldt.googlepages.com/feldt_2000_factorial_exp_gp_params.pdf",
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DOI = "doi:10.1007/978-3-540-46239-2_20",
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abstract = "Statistical techniques for designing and analyzing
experiments are used to evaluate the individual and
combined effects of genetic programming parameters.
Three binary classification problems are investigated
in a total of seven experiments consisting of 1108 runs
of a machine code genetic programming system. The
parameters having the largest effect in these
experiments are the population size and the number of
generations. A large number of parameters have
negligible effects. The experiments indicate that the
investigated genetic programming system is robust to
parameter variations, with the exception of a few
important parameters.",
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notes = "EuroGP'2000, part of \cite{poli:2000:GP}",
- }
Genetic Programming entries for
Robert Feldt
Peter Nordin
Citations