Chemical Process Controller Design Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Dominic Searson and Mark Willis and Gary Montague",
  title =        "Chemical Process Controller Design Using Genetic
  booktitle =    "Genetic Programming 1998: Proceedings of the Third
                 Annual Conference",
  year =         "1998",
  editor =       "John R. Koza and Wolfgang Banzhaf and 
                 Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max H. Garzon and 
                 David E. Goldberg and Hitoshi Iba and Rick Riolo",
  pages =        "359--364",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "San Francisco, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-548-7",
  URL =          "",
  abstract =     "we show that genetic programming (GP) can be used to
                 design discrete-time dynamic controllers that offer
                 similar performance to standard Proportional Integral
                 Derivative (PID) controllers for a specific class of
                 control objectives. Two processes are used as examples:
                 an Auto-Regressive eXogeneous (ARX) system and a
                 simulated non-linear Continuous Stirred Tank Reactor
                 (CSTR). Additionally, some of the generalisation
                 properties of the evolved controllers are examined and
  notes =        "GP-98",

Genetic Programming entries for Dominic Patrick Searson Mark J Willis Gary A Montague