Beneficial Aspects of Neutrality in GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Lopez:gecco05lbp,
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author = "Edgar {Galvan Lopez} and Katya {Rodriguez Vazquez} and
Riccardo Poli",
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title = "Beneficial Aspects of Neutrality in GP",
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booktitle = "Late breaking paper at Genetic and Evolutionary
Computation Conference {(GECCO'2005)}",
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year = "2005",
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month = "25-29 " # jun,
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editor = "Franz Rothlauf",
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address = "Washington, D.C., USA",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2005lbp/papers/45-lopez.pdf",
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keywords = "genetic algorithms, genetic programming, EHW",
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abstract = "We propose a new approach, called Multiple Outputs in
a Single Tree (MOST), to Genetic Programming. The idea
of this approach is to specify explicitly Neutrality
and study how this improves the evolutionary process.
For this sake, we have used several evolvable hardware
problems of different complexity taken from the
literature. Our results indicate that our approach has
a better overall performance in terms of consistency to
reach feasible solutions",
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notes = "Distributed on CD-ROM at GECCO-2005
",
- }
Genetic Programming entries for
Edgar Galvan Lopez
Katya Rodriguez-Vazquez
Riccardo Poli
Citations