Is increased diversity in genetic programming beneficial? An analysis of the effects on performance
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{gustafson:2003:iidigpbaaoteop,
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author = "Edmund K. Burke and Steven Gustafson and
Graham Kendall and Natalio Krasnogor",
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title = "Is increased diversity in genetic programming
beneficial? An analysis of the effects on performance",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "1398--1405",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Convergence,
Entropy, Evolutionary computation, Shape, Stochastic
processes, artificial life, regression analysis,
artificial ant, binomial-3 function, even-5-parity,
genetic lineage selection, symbolic regression",
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ISBN = "0-7803-7804-0",
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DOI = "doi:10.1109/CEC.2003.1299834",
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abstract = "A selection strategy based on genetic lineages is used
to increase genetic diversity. A genetic lineage is
defined as the path from an individual to individuals
which were created from its genetic material. The
method is applied to three problem domains: Artificial
Ant, Even-5-Parity and symbolic regression of the
Binomial-3 function. We examine how increased diversity
affects problems differently and draw conclusions about
the types of diversity which are more important for
each problem. Results indicate that diversity in the
Ant problem helps to overcome deception, while elitism
in combination with diversity is likely to benefit the
Parity and regression problems.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Edmund Burke
Steven M Gustafson
Graham Kendall
Natalio Krasnogor
Citations