Swing Up and Balance Control of the Acrobot Solved by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Dimitris C. Dracopoulos and Barry D. Nichols",
  title =        "Swing Up and Balance Control of the Acrobot Solved by
                 Genetic Programming",
  booktitle =    "Research and Development in Intelligent Systems
                 {XXIX}, Incorporating Applications and Innovations in
                 Intelligent Systems {XX}: Proceedings of {AI}-2012, The
                 Thirty-second {SGAI} International Conference on
                 Innovative Techniques and Applications of Artificial
  year =         "2012",
  editor =       "Max Bramer and Miltos Petridis",
  pages =        "229--242",
  address =      "Cambridge, UK",
  month =        dec # " 11-13",
  publisher =    "Springer",
  note =         "Best Application Paper",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4471-4738-1",
  URL =          "http://dx.doi.org/10.1007/978-1-4471-4739-8_19",
  DOI =          "doi:10.1007/978-1-4471-4739-8_19",
  bibdate =      "2013-01-22",
  bibsource =    "DBLP,
  abstract =     "The evolution of controllers using genetic programming
                 is described for the continuous, limited torque minimum
                 time swing-up and inverted balance problems of the
                 acrobot. The best swing-up controller found is able to
                 swing the acrobot up to a position very close to the
                 inverted handstand position in a very short time, which
                 is comparable to the results which have been achieved
                 by other methods using similar parameters for the
                 dynamic system. The balance controller is successful at
                 keeping the acrobot in the unstable, inverted position
                 when starting from the inverted position.",
  notes =        "SGAI Conf",

Genetic Programming entries for Dimitris C Dracopoulos Barry D Nichols