Geometric Crossover in Syntactic Space

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Macedo:2018:EuroGP,

• author = "Joao Macedo and Carlos M. Fonseca and Ernesto Costa",
• title = "Geometric Crossover in Syntactic Space",
• booktitle = "EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming",
• year = "2018",
• month = "4-6 " # apr,
• editor = "Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez",
• series = "LNCS",
• volume = "10781",
• publisher = "Springer Verlag",
• address = "Parma, Italy",
• pages = "237--252",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Geometric operators, Crossover:Poster",
• isbn13 = "978-3-319-77552-4",
• URL = "https://old.cisuc.uc.pt/publication/show/5627",
• DOI = "doi:10.1007/978-3-319-77553-1_15",
• size = "16 pages",
• 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.",
• 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