Pattern-guided genetic programming

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

@InProceedings{Krawiec:2013:GECCOa,
  author =       "Krzysztof Krawiec and Jerry Swan",
  title =        "Pattern-guided genetic programming",
  booktitle =    "GECCO '13: Proceeding of the fifteenth annual
                 conference on Genetic and evolutionary computation
                 conference",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and Anne Auger and 
                 Jaume Bacardit and Josh Bongard and Juergen Branke and 
                 Nicolas Bredeche and Dimo Brockhoff and 
                 Francisco Chicano and Alan Dorin and Rene Doursat and 
                 Aniko Ekart and Tobias Friedrich and Mario Giacobini and 
                 Mark Harman and Hitoshi Iba and Christian Igel and 
                 Thomas Jansen and Tim Kovacs and Taras Kowaliw and 
                 Manuel Lopez-Ibanez and Jose A. Lozano and Gabriel Luque and 
                 John McCall and Alberto Moraglio and 
                 Alison Motsinger-Reif and Frank Neumann and Gabriela Ochoa and 
                 Gustavo Olague and Yew-Soon Ong and 
                 Michael E. Palmer and Gisele Lobo Pappa and 
                 Konstantinos E. Parsopoulos and Thomas Schmickl and Stephen L. Smith and 
                 Christine Solnon and Thomas Stuetzle and El-Ghazali Talbi and 
                 Daniel Tauritz and Leonardo Vanneschi",
  isbn13 =       "978-1-4503-1963-8",
  pages =        "949--956",
  keywords =     "genetic algorithms, genetic programming",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2463372.2463496",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Online progress in search and optimisation is often
                 hindered by neutrality in the fitness landscape, when
                 many genotypes map to the same fitness value. We
                 propose a method for imposing a gradient on the fitness
                 function of a metaheuristic (in this case, Genetic
                 Programming) via a metric (Minimum Description Length)
                 induced from patterns detected in the trajectory of
                 program execution. These patterns are induced via a
                 decision tree classifier. We apply this method to a
                 range of integer and Boolean-valued problems,
                 significantly outperforming the standard approach. The
                 method is conceptually straightforward and applicable
                 to virtually any metaheuristic that can be
                 appropriately instrumented.",
  notes =        "Also known as \cite{2463496} GECCO-2013 A joint
                 meeting of the twenty second international conference
                 on genetic algorithms (ICGA-2013) and the eighteenth
                 annual genetic programming conference (GP-2013)",
}

Genetic Programming entries for Krzysztof Krawiec Jerry Swan

Citations