Universal information distance for genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Gaudesi:2014:GECCOcomp,
  author =       "Marco Gaudesi and Giovanni Squillero and 
                 Alberto Tonda",
  title =        "Universal information distance for genetic
                 programming",
  booktitle =    "GECCO Comp '14: Proceedings of the 2014 conference
                 companion on Genetic and evolutionary computation
                 companion",
  year =         "2014",
  editor =       "Christian Igel and Dirk V. Arnold and 
                 Christian Gagne and Elena Popovici and Anne Auger and 
                 Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and 
                 Kalyanmoy Deb and Benjamin Doerr and James Foster and 
                 Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and 
                 Hitoshi Iba and Christian Jacob and Thomas Jansen and 
                 Yaochu Jin and Marouane Kessentini and 
                 Joshua D. Knowles and William B. Langdon and Pedro Larranaga and 
                 Sean Luke and Gabriel Luque and John A. W. McCall and 
                 Marco A. {Montes de Oca} and Alison Motsinger-Reif and 
                 Yew Soon Ong and Michael Palmer and 
                 Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and 
                 Guenther Ruhe and Tom Schaul and Thomas Schmickl and 
                 Bernhard Sendhoff and Kenneth O. Stanley and 
                 Thomas Stuetzle and Dirk Thierens and Julian Togelius and 
                 Carsten Witt and Christine Zarges",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming: Poster",
  pages =        "137--138",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2598394.2598440",
  DOI =          "doi:10.1145/2598394.2598440",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper presents a genotype-level distance metric
                 for Genetic Programming (GP) based on the symmetric
                 difference concept: first, the information contained in
                 individuals is expressed as a set of symbols (the
                 content of each node, its position inside the tree, and
                 recurring parent-child structures); then, the
                 difference between two individuals is computed
                 considering the number of elements belonging to one,
                 but not both, of their symbol sets.",
  notes =        "Also known as \cite{2598440} Distributed at
                 GECCO-2014.",
}

Genetic Programming entries for Marco Gaudesi Giovanni Squillero Alberto Tonda

Citations