A non-destructive grammar modification approach to modularity in grammatical evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "John Mark Swafford and Erik Hemberg and 
                 Michael O'Neill and Miguel Nicolau and Anthony Brabazon",
  title =        "A non-destructive grammar modification approach to
                 modularity in grammatical evolution",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0557-0",
  pages =        "1411--1418",
  keywords =     "genetic algorithms, genetic programming, grammatical
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001766",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Modularity has proven to be an important aspect of
                 evolutionary computation. This work is concerned with
                 discovering and using modules in one form of
                 grammar-based genetic programming, grammatical
                 evolution (GE). Previous work has shown that simply
                 adding modules to GE's grammar has the potential to
                 disrupt fit individuals developed by evolution up to
                 that point. This paper presents a solution to prevent
                 the disturbance in fitness that can come with modifying
                 GE's grammar with previously discovered modules. The
                 results show an increase in performance from a
                 previously examined grammar modification approach and
                 also an increase in performance when compared to
                 standard GE.",
  notes =        "Also known as \cite{2001766} GECCO-2011 A joint
                 meeting of the twentieth international conference on
                 genetic algorithms (ICGA-2011) and the sixteenth annual
                 genetic programming conference (GP-2011)",

Genetic Programming entries for John Mark Swafford Erik Hemberg Michael O'Neill Miguel Nicolau Anthony Brabazon