An investigation into the structure of genomes within an evolution that uses embryogenesis

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Anthony M. Roy and Erik K. Antonsson and 
                 Andrew A. Shapiro",
  title =        "An investigation into the structure of genomes within
                 an evolution that uses embryogenesis",
  booktitle =    "GECCO-2009 Late-Breaking Papers",
  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 =        "2137--2142",
  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,",
  DOI =          "doi:10.1145/1570256.1570290",
  abstract =     "Evolutionary algorithms that use embryogenesis in the
                 creation of individuals have several desirable
                 qualities. Such algorithms are able to create complex,
                 modular designs which can scale well to large problems.
                 However, the inner workings of developmental algorithms
                 have not been investigated as thoroughly as their
                 direct-encoding counterparts. More precisely, it would
                 be beneficial to look at how the rules used during
                 embryogenesis evolve alongside the phenotypes they
                 produced. This paper reports on such an investigation
                 into the evolution of a rule set for the growth of an
                 artificial neural network, and identifies several
                 aspects that are desirable for the genomes of a
                 developmental evolutionary algorithm.",
  notes =        "Distributed on CD-ROM at GECCO-2009.

                 ACM Order Number 910092.",

Genetic Programming entries for Anthony M Roy Erik K Antonsson Andrew A Shapiro