Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{gustafson:2005:CEC,
author = "Steven Gustafson and Edmund K. Burke and
Natalio Krasnogor",
title = "On Improving Genetic Programming for Symbolic
Regression",
booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
year = "2005",
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",
volume = "1",
pages = "912--919",
address = "Edinburgh, UK",
publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
month = "2-5 " # sep,
organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
publisher = "IEEE Press",
keywords = "genetic algorithms, genetic programming",
ISBN = "0-7803-9363-5",
abstract = "reports an improvement to genetic programming (GP)
search for the symbolic regression domain, based on an
analysis of dissimilarity and mating. GP search is
generally difficult to characterise for this domain,
preventing well motivated algorithmic improvements. We
first examine the ability of various solutions to
contribute to the search process. Further analysis
highlights the numerous solutions produced during
search with no change to solution quality. A simple
algorithmic enhancement is made that reduces these
events and produces a statistically significant
improvement in solution quality. We conclude by
verifying the generalisability of these results on
several other regression instances.",
notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
}
Genetic Programming entries for Steven M Gustafson Edmund Burke Natalio Krasnogor