Semantic aware methods for evolutionary art

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Machado:2014:GECCO,
  author =       "Penousal Machado and Joao Correia",
  title =        "Semantic aware methods for evolutionary art",
  booktitle =    "GECCO '14: Proceedings of the 2014 conference on
                 Genetic and evolutionary computation",
  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 =       "978-1-4503-2662-9",
  pages =        "301--308",
  keywords =     "genetic algorithms, genetic programming",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2576768.2598293",
  DOI =          "doi:10.1145/2576768.2598293",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In the past few years the use of semantic aware
                 crossover and mutation has become a hot topic of
                 research within the Genetic Programming community.
                 Unlike traditional genetic operators that perform
                 syntactic manipulations of programs regardless of their
                 behavior, semantic driven operators promote direct
                 search on the underlying behavioral space. Based on
                 previous work on semantic Genetic Programming and
                 Genetic Morphing, we propose and implement semantic
                 driven crossover and mutation operators for
                 evolutionary art. The experimental results focus on
                 assessing how these operators compare with traditional
                 ones.",
  notes =        "Also known as \cite{2598293} GECCO-2014 A joint
                 meeting of the twenty third international conference on
                 genetic algorithms (ICGA-2014) and the nineteenth
                 annual genetic programming conference (GP-2014)",
}

Genetic Programming entries for Penousal Machado Joao Correia Lopes

Citations