Geometric Crossover in Syntactic Space
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Macedo:2018:EuroGP,
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author = "Joao Macedo and Carlos M. Fonseca and Ernesto Costa",
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title = "Geometric Crossover in Syntactic Space",
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booktitle = "EuroGP 2018: Proceedings of the 21st European
Conference on Genetic Programming",
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year = "2018",
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month = "4-6 " # apr,
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editor = "Mauro Castelli and Lukas Sekanina and
Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez",
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series = "LNCS",
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volume = "10781",
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publisher = "Springer Verlag",
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address = "Parma, Italy",
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pages = "237--252",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Geometric
operators, Crossover:Poster",
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isbn13 = "978-3-319-77552-4",
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URL = "https://old.cisuc.uc.pt/publication/show/5627",
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DOI = "doi:10.1007/978-3-319-77553-1_15",
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size = "16 pages",
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abstract = "This paper presents a geometric crossover operator for
Tree-Based Genetic Programming that acts on the
syntactic space, where each expression tree is
represented in prefix notation. The proposed operator
is compared to the standard subtree crossover on a
symbolic regression problem, on the Santa Fe Ant Trail
and on a classification problem. Statistically
validated results show that the individuals produced
using this method are significantly smaller than those
produced by the subtree crossover, and have similar or
better performance in the target tasks.",
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notes = "Part of \cite{Castelli:2018:GP} EuroGP'2018 held in
conjunction with EvoCOP2018, EvoMusArt2018 and
EvoApplications2018",
- }
Genetic Programming entries for
Joao Macedo
Carlos M Fonseca
Ernesto Costa
Citations