Control of bloat in Genetic Programming by means of the Island Model
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Fernandez:PPSN:2004,
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author = "Francisco Fernandez-de-Vega and German Galeano Gil and
Juan Antonio Gomez Pulido and Jose Luis Guisado",
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title = "Control of bloat in Genetic Programming by means of
the Island Model",
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booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
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year = "2004",
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editor = "Xin Yao and Edmund Burke and Jose A. Lozano and
Jim Smith and Juan J. Merelo-Guerv\'os and
John A. Bullinaria and Jonathan Rowe and
Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
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volume = "3242",
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pages = "263--271",
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series = "LNCS",
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address = "Birmingham, UK",
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publisher_address = "Berlin",
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month = "18-22 " # sep,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-23092-0",
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URL = "https://rdcu.be/dc0jJ",
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DOI = "doi:10.1007/b100601",
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DOI = "doi:10.1007/978-3-540-30217-9_27",
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abstract = "a new proposal for reducing bloat in Genetic
Programming. This proposal is based in a well-known
parallel evolutionary model: the island model. We
firstly describe the theoretical motivation for this
new approach to the bloat problem, and then we present
a set of experiments that gives us evidence of the
findings extracted from the theory. The experiments
have been performed on a representative problem
extracted from the GP field: the even parity 5 problem.
We analyse the evolution of bloat employing different
settings for the parameters employed. The conclusion is
that the Island Model helps to prevent the bloat
phenomenon.",
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notes = "PPSN-VIII",
- }
Genetic Programming entries for
Francisco Fernandez de Vega
German Galeano
Juan Antonio Gomez
Jose Luis Guisado
Citations