Multi-objective Techniques in Genetic Programming for Evolving Classifiers
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{parrott:2005:CEC,
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author = "Daniel Parrott and Xiaodong Li and Vic Ciesielski",
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title = "Multi-objective Techniques in Genetic Programming for
Evolving Classifiers",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
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year = "2005",
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editor = "David Corne and Zbigniew Michalewicz and
Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and
Garrison Greenwood and Tan Kay Chen and
Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and
Jennifier Willies and Juan J. Merelo Guervos and
Eugene Eberbach and Bob McKay and Alastair Channon and
Ashutosh Tiwari and L. Gwenn Volkert and
Dan Ashlock and Marc Schoenauer",
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volume = "2",
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pages = "1141--1148",
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address = "Edinburgh, UK",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "2-5 " # sep,
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organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7803-9363-5",
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URL = "http://goanna.cs.rmit.edu.au/~xiaodong/publications/183.pdf",
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DOI = "doi:10.1109/CEC.2005.1554819",
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abstract = "The application of multi-objective evolutionary
computation techniques to the genetic programming of
classifiers has the potential to both improve the
accuracy and decrease the training time of the
classifiers. The performance of two such algorithms are
investigated on the even 6-parity problem and the
Wisconsin Breast Cancer, Iris and Wine data sets from
the UCI repository. The first method explores the
addition of an explicit size objective as a parsimony
enforcement technique. The second represents a
program's classification accuracy on each class as a
separate objective. Both techniques give a lower error
rate with less computational cost than was achieved
using a standard GP with the same parameters.",
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notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
- }
Genetic Programming entries for
Daniel Parrott
Xiaodong Li
Victor Ciesielski
Citations