Symbiosis, complexification and simplicity under GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Lichodzijewski:2010:gecco,
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author = "Peter Lichodzijewski and Malcolm I. Heywood",
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title = "Symbiosis, complexification and simplicity under GP",
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booktitle = "GECCO '10: Proceedings of the 12th annual conference
on Genetic and evolutionary computation",
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year = "2010",
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editor = "Juergen Branke and Martin Pelikan and Enrique Alba and
Dirk V. Arnold and Josh Bongard and
Anthony Brabazon and Juergen Branke and Martin V. Butz and
Jeff Clune and Myra Cohen and Kalyanmoy Deb and
Andries P Engelbrecht and Natalio Krasnogor and
Julian F. Miller and Michael O'Neill and Kumara Sastry and
Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and
Carsten Witt",
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isbn13 = "978-1-4503-0072-8",
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pages = "853--860",
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keywords = "genetic algorithms, genetic programming",
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month = "7-11 " # jul,
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organisation = "SIGEVO",
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address = "Portland, Oregon, USA",
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DOI = "doi:10.1145/1830483.1830640",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Models of Genetic Programming (GP) frequently reflect
a neo-Darwinian view to evolution in which inheritance
is based on a process of gradual refinement and the
resulting solutions take the form of single monolithic
programs. Conversely, introducing an explicitly
symbiotic model of inheritance makes a
divide-and-conquer metaphor for problem decomposition
central to evolution. Benchmarking gradualist versus
symbiotic models of evolution under a common
evolutionary framework illustrates that not only does
symbiosis result in more accurate solutions, but the
solutions are also much simpler in terms of instruction
and attribute count over a wide range of classification
problem domains.",
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notes = "Also known as \cite{1830640} GECCO-2010 A joint
meeting of the nineteenth international conference on
genetic algorithms (ICGA-2010) and the fifteenth annual
genetic programming conference (GP-2010)",
- }
Genetic Programming entries for
Peter Lichodzijewski
Malcolm Heywood
Citations