Mutation and crossover with abstract expression grammars

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

@InProceedings{DBLP:conf/gecco/Korns09a,
  author =       "Michael F. Korns",
  title =        "Mutation and crossover with abstract expression
                 grammars",
  booktitle =    "GECCO-2009 Symbolic regression and modeling workshop
                 (SRM)",
  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 =        "2219--2224",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1570256.1570308",
  abstract =     "Simple enhancements to the standard population
                 operators of mutation and crossover, using Abstract
                 Expression Grammars, are investigated. In previous
                 works, Abstract Expression Grammars have been used to
                 integrate Genetic Algorithms, Genetic Programming,
                 Swarm Intelligence, and Differential Evolution, into a
                 seamlessly unified approach to symbolic regression. In
                 this work, the potential for Abstract Expression
                 Grammars to have a direct impact on the classic Genetic
                 Programming mutation and crossover operators is
                 demonstrated. The features of abstract expression
                 grammars are explored, details of abstract mutation and
                 crossover are provided, and the beneficial effects of
                 abstract mutation and crossover are tested with several
                 published nonlinear regression problems.",
  notes =        "Distributed on CD-ROM at GECCO-2009.

                 ACM Order Number 910092.",
}

Genetic Programming entries for Michael Korns

Citations