An Enhanced Genetic Programming Algorithm for Optimal Controller Design

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

@Article{Maher:2013:ICA,
  author =       "Rami A. Maher and Mohamed J. Mohamed",
  title =        "An Enhanced Genetic Programming Algorithm for Optimal
                 Controller Design",
  journal =      "Intelligent Control and Automation",
  year =         "2013",
  volume =       "4",
  number =       "1",
  pages =        "94--101",
  month =        feb,
  publisher =    "Scientific Research Publishing",
  keywords =     "genetic algorithms, genetic programming, Optimal
                 Control, Nonlinear Control System",
  ISSN =         "2153-0653",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:95df4bd89754cd8857ce4c2c286e788e",
  URL =          "http://www.scirp.org/journal/ica/",
  URL =          "http://www.scirp.org/journal/PaperDownload.aspx?paperID=27848",
  DOI =          "doi:10.4236/ica.2013.41013",
  size =         "8 pages",
  abstract =     "This paper proposes a Genetic Programming based
                 algorithm that can be used to design optimal
                 controllers. The proposed algorithm will be named a
                 Multiple Basis Function Genetic Programming (MBFGP).
                 Herein, the main ideas concerning the initial
                 population, the tree structure, genetic operations, and
                 other proposed non-genetic operations are discussed in
                 details. An optimisation algorithm called numeric
                 constant mutation is embedded to strengthen the search
                 for the optimal solutions. The results of solving the
                 optimal control for linear as well as nonlinear systems
                 show the feasibility and effectiveness of the proposed
                 MBFGP as compared to the optimal solutions which are
                 based on numerical methods. Furthermore, this algorithm
                 enriches the set of suboptimal state feedback
                 controllers to include controllers that have product
                 time-state terms.",
}

Genetic Programming entries for Rami A Maher Mohamed J Mohamed

Citations