Geometric Crossover in Syntactic Space

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

@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: Poster",
  isbn13 =       "978-3-319-77552-4",
  DOI =          "doi:10.1007/978-3-319-77553-1_15",
  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