Chemical Process Controller Design Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{searson:1998:cpcdGP,

• author = "Dominic Searson and Mark Willis and Gary Montague",
• title = "Chemical Process Controller Design Using Genetic Programming",
• 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 = "http://www.staff.ncl.ac.uk/d.p.searson/docs/SearsonGP98.pdf",
• 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 discussed.",
• notes = "GP-98",

}

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

Citations