Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Goncalves:2016:GECCOcomp,
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author = "Ivo Goncalves and Sara Silva and Carlos M. Fonseca and
Mauro Castelli",
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title = "Arbitrarily Close Alignments in the Error Space: a
Geometric Semantic Genetic Programming Approach",
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booktitle = "GECCO '16 Companion: Proceedings of the Companion
Publication of the 2016 Annual Conference on Genetic
and Evolutionary Computation",
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year = "2016",
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editor = "Tobias Friedrich and Frank Neumann and
Andrew M. Sutton and Martin Middendorf and Xiaodong Li and
Emma Hart and Mengjie Zhang and Youhei Akimoto and
Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and
Daniele Loiacono and Julian Togelius and
Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and
Faustino Gomez and Carlos M. Fonseca and
Heike Trautmann and Alberto Moraglio and William F. Punch and
Krzysztof Krawiec and Zdenek Vasicek and
Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and
Boris Naujoks and Enrique Alba and Gabriela Ochoa and
Simon Poulding and Dirk Sudholt and Timo Koetzing",
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pages = "99--100",
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keywords = "genetic algorithms, genetic programming: Poster",
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month = "20-24 " # jul,
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organisation = "SIGEVO",
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address = "Denver, USA",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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isbn13 = "978-1-4503-4323-7",
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DOI = "doi:10.1145/2908961.2908988",
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abstract = "This paper shows how arbitrarily close alignments in
the error space can be achieved by Genetic Programming.
The consequences for the generalization ability of the
resulting individuals are explored.",
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notes = "Distributed at GECCO-2016.",
- }
Genetic Programming entries for
Ivo Goncalves
Sara Silva
Carlos M Fonseca
Mauro Castelli
Citations