Evolving Effective Visual Tracking through Shaping

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

  author =       "Simon Perkins",
  title =        "Evolving Effective Visual Tracking through Shaping",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  year =         "1999",
  editor =       "Wolfgang Banzhaf and Jason Daida and 
                 Agoston E. Eiben and Max H. Garzon and Vasant Honavar and 
                 Mark Jakiela and Robert E. Smith",
  volume =       "2",
  pages =        "1156--1161",
  address =      "Orlando, Florida, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "13-17 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-611-4",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-458c.pdf",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-458c.ps",
  size =         "9 pages",
  abstract =     "Shaping is a way in which a human designer can provide
                 assistance to a learning system to enable it to solve
                 problems that would otherwise defeat it. Results are
                 presented showing that shaping can significantly
                 improve the - final performance of controllers evolved
                 for a difficult visual tracking task. Controllers are
                 developed in simulation and then transferred to a real
                 robot head.",
  notes =        "GECCO-99 A joint meeting of the eighth international
                 conference on genetic algorithms (ICGA-99) and the
                 fourth annual genetic programming conference (GP-99)",

Genetic Programming entries for Simon Perkins