Evolving Modularity in Robot Behaviour Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Jonathan Mwaura and Ed Keedwell",
  title =        "Evolving Modularity in Robot Behaviour Using Gene
                 Expression Programming",
  booktitle =    "Proceedings 12th Annual Conference Towards Autonomous
                 Robotic Systems, (TAROS 2011)",
  year =         "2011",
  editor =       "Roderich Gross and Lyuba Alboul and Chris Melhuish and 
                 Mark Witkowski and Tony J. Prescott and 
                 Jacques Penders",
  volume =       "6856",
  series =       "Lecture Notes in Computer Science",
  pages =        "392--393",
  address =      "Sheffield, {UK}",
  month =        aug # " 31-" # sep # " 2",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming",
  isbn13 =       "978-3-642-23231-2",
  DOI =          "doi:10.1007/978-3-642-23232-9_43",
  size =         "2 pages",
  abstract =     "Incremental learning [3] and layered learning [4] have
                 been proposed as suitable approaches to improve
                 evolutionary robotic (ER) algorithms by subdividing the
                 required behaviour into simpler tasks. However,
                 incremental learning does not divide the controller to
                 unique task modules and although layered learning
                 subdivides the problem into modules it does not offer
                 continuous learning for the various sub-behaviours.
                 Moreover, both methods involve the modification of the
                 fitness function in every module thus increasing
                 computational overhead.",
  notes =        "ugGEP mgGEP Lazarus room 2-5",
  affiliation =  "College of Engineering, Mathematics and Physical
                 Sciences, University of Exeter, Exeter, UK",
  bibdate =      "2011-08-26",
  bibsource =    "DBLP,

Genetic Programming entries for Jonathan Mwaura Ed Keedwell