Dynamic L-systems in GE

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

@InProceedings{Harper:2011:GECCOcomp,
  author =       "Robin Harper",
  title =        "Dynamic L-systems in GE",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 companion 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 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, Generative and developmental systems:
                 Poster",
  pages =        "209--210",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001858.2001975",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In this paper, I describe how to use Grammatical
                 Evolution to implement a parametrised Lindenmayer
                 System (L-System), where the number of production rules
                 of the L-System is determined by the genome of the
                 individual, rather than being determined by the user
                 before hand. This leaves the number of production rules
                 as a free parameter and allows the underlying topology
                 of the system to be optimised by the evolutionary
                 algorithm.",
  notes =        "Also known as \cite{2001975} Distributed on CD-ROM at
                 GECCO-2011.

                 ACM Order Number 910112.",
}

Genetic Programming entries for Robin Harper

Citations