Automatic Synthesis of Both the Topology and Parameters for a Three-Lag Plant with a five-Second Delay Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.1944

@InProceedings{koza:2000:astpc3lp5sGP,
  author =       "John R. Koza and Martin A. Keane and Jessen Yu and 
                 William Mydlowec and Forrest H {Bennett III}",
  title =        "Automatic Synthesis of Both the Topology and
                 Parameters for a Three-Lag Plant with a five-Second
                 Delay Using Genetic Programming",
  booktitle =    "Real-World Applications of Evolutionary Computing",
  year =         "2000",
  editor =       "Stefano Cagnoni and Riccardo Poli and 
                 George D. Smith and David Corne and Martin Oates and Emma Hart and 
                 Pier Luca Lanzi and Egbert Jan Willem and Yun Li and 
                 Ben Paechter and Terence C. Fogarty",
  volume =       "1803",
  series =       "LNCS",
  pages =        "168--177",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "17 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-67353-9",
  URL =          "http://www.genetic-programming.com/jkpdf/evoscondi2000.pdf",
  URL =          "http://citeseer.ist.psu.edu/488522.html",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1803&spage=168",
  abstract =     "This paper describes how the process of synthesizing
                 the design of both the topology and the numerical
                 parameter values (tuning) for a controller can be
                 automated by using genetic programming. Genetic
                 programming can be used to automatically make the
                 decisions concerning the total number of signal
                 processing blocks to be employed in a controller, the
                 type of each block, the topological interconnections
                 between the blocks, and the values of all parameters
                 for all blocks requiring parameters. In synthesizing
                 the design of controllers, genetic programming can
                 simultaneously optimize prespecified performance
                 metrics (such as minimizing the time required to bring
                 the plant output to the desired value), satisfy
                 time-domain constraints (such as overshoot and
                 disturbance rejection), and satisfy frequency domain
                 constraints. Evolutionary methods have the advantage of
                 not being encumbered by preconceptions that limit its
                 search to well-traveled paths. Genetic programming is
                 applied to an illustrative problem involving the design
                 of a controller for a three-lag plant with a
                 significant (five-second) time delay in the external
                 feedback from the plant to the controller. A delay in
                 the feedback makes the design of an effective
                 controller especially difficult.",
  notes =        "EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel,
                 EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland,
                 UK, April 17, 2000
                 Proceedings

                 http://evonet.lri.fr/evoweb/resources/books_journals/record.php?id=61",
}

Genetic Programming entries for John Koza Martin A Keane Jessen Yu William J Mydlowec Forrest Bennett