Evolutionary algorithms in control systems engineering

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Eduard Ushakov",
  title =        "Evolutionary algorithms in control systems
  booktitle =    "2010 International Conference on Modern Problems of
                 Radio Engineering, Telecommunications and Computer
                 Science (TCSET)",
  year =         "2010",
  month =        feb,
  pages =        "204",
  address =      "Lviv-Slavske, Ukraine",
  keywords =     "genetic algorithms, genetic programming, control
                 systems engineering, conventional optimisation,
                 evolutionary algorithms, control system synthesis",
  isbn13 =       "978-966-553-875-2",
  URL =          "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5446117",
  size =         "1 page",
  abstract =     "Summary form only given. This paper introduces the
                 session describing the state-of-the-art in the
                 application of evolutionary computation in control
                 system engineering. Evolutionary methods such as
                 genetic algorithms (GAs) and genetic programming (GP)
                 are particularly suitable in problems for which
                 conventional optimisers are inefficient or
                 inappropriate, rather than simply as an alternative to
                 conventional optimisation. This session will be of
                 interest to the control engineering community as a
                 whole, and will provide an educational background to
                 those not familiar with these methods as well as
                 presenting new results and applications.",
  notes =        "Also known as \cite{5446117}",

Genetic Programming entries for Eduard Ushakov