An exploration of learning and grammars in grammatical evolution

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

@InProceedings{DBLP:conf/gecco/Hemberg09,
  author =       "Erik Hemberg",
  title =        "An exploration of learning and grammars in grammatical
                 evolution",
  booktitle =    "GECCO-2009 Graduate student workshop",
  year =         "2009",
  editor =       "Anna I. Esparcia and Ying-ping Chen and 
                 Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and 
                 Hans-Georg Beyer and Nikolaus Hansen and 
                 Steffen Finck and Raymond Ros and Darrell Whitley and 
                 Garnett Wilson and Simon Harding and W. B. Langdon and 
                 Man Leung Wong and Laurence D. Merkle and Frank W. Moore and 
                 Sevan G. Ficici and William Rand and Rick Riolo and 
                 Nawwaf Kharma and William R. Buckley and Julian Miller and 
                 Kenneth Stanley and Jaume Bacardit and Will Browne and 
                 Jan Drugowitsch and Nicola Beume and Mike Preuss and 
                 Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and 
                 Alexandru Floares and Aaron Baughman and 
                 Steven Gustafson and Maarten Keijzer and Arthur Kordon and 
                 Clare Bates Congdon and Laurence D. Merkle and 
                 Frank W. Moore",
  pages =        "2705--2708",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1570256.1570389",
  abstract =     "This paper is concerned with the challenge of learning
                 solutions to problems. The method employed here is a
                 grammar based heuristic, where domain knowledge is
                 encoded in a generative grammar, while evolution drives
                 the update of the population of solutions. Furthermore
                 the method can adapt to the environment by altering the
                 grammar. The implementation consists of the
                 grammar-based Genetic Programming approach of
                 Grammatical Evolution (GE). A number of different
                 constructions of grammars and operators for
                 manipulating the grammars and the evolutionary
                 algorithm are investigated, as well as a meta-grammar
                 GE which allows a more flexible grammar. The results
                 show some benefit of using meta-grammars in GE and
                 re-emphasize the grammar's impact on GE's
                 performance.",
  notes =        "Distributed on CD-ROM at GECCO-2009.

                 ACM Order Number 910092.",
}

Genetic Programming entries for Erik Hemberg

Citations