Dynamic Flies: Using Real-Time Parisian Evolution in Robotics

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Amine M. Boumaza and Jean Louchet",
  title =        "Dynamic Flies: Using Real-Time Parisian Evolution in
  booktitle =    "Applications of Evolutionary Computing",
  year =         "2001",
  editor =       "Egbert J. W. Boers and Stefano Cagnoni and 
                 Jens Gottlieb and Emma Hart and Pier Luca Lanzi and 
                 Gunther R. Raidl and Robert E. Smith and Harald Tijink",
  volume =       "2037",
  series =       "LNCS",
  pages =        "288--297",
  address =      "Lake Como, Italy",
  publisher_address = "Berlin",
  month =        "18 " # apr,
  organisation = "EvoNET",
  publisher =    "Springer-Verlag",
  note =         "best paper award",
  keywords =     "genetic algorithms, genetic programming, fly
                 algorithm, robot",
  ISBN =         "3-540-41920-9",
  DOI =          "doi:10.1007/3-540-45365-2_30",
  abstract =     "The Fly algorithm is a Parisian evolution strategy
                 devised for parameter space exploration in computer
                 vision applications, which has been applied to
                 stereovision. The resulting scene model is a set of 3-D
                 points which concentrate upon the surfaces of
                 obstacles. In this paper, we present how the
                 evolutionary scene analysis can be continuously updated
                 and integrated into a specific real-time mobile robot
                 navigation system. Simulation-based experimental
                 results are presented.",
  notes =        "EvoWorkshops2001",

Genetic Programming entries for Amine M Boumaza Jean Louchet