Genetic programming for the minimum time swing up and balance control acrobot problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Dracopoulos:2015:EXSY,
  author =       "Dimitris C. Dracopoulos and Barry D. Nichols",
  title =        "Genetic programming for the minimum time swing up and
                 balance control acrobot problem",
  journal =      "Expert Systems",
  year =         "2015",
  note =         "Early View (Online Version of Record published before
                 inclusion in an issue)",
  ISSN =         "1468-0394",
  URL =          "http://dx.doi.org/10.1111/exsy.12115",
  DOI =          "doi:10.1111/exsy.12115",
  pages =        "n/a--n/a",
  keywords =     "genetic algorithms, genetic programming, artificial
                 intelligence, control systems, computational
                 intelligence",
  size =         "9 pages",
  abstract =     "This work describes how genetic programming is applied
                 to evolving controllers for the minimum time swing up
                 and inverted balance tasks of the continuous state and
                 action: limited torque acrobot. The best swing-up
                 controller is able to swing the acrobot up to a
                 position very close to the inverted handstand position
                 in a very short time, shorter than that of Coulom
                 (2004), who applied the same constraints on the applied
                 torque values, and to take only slightly longer than
                 the approach by Lai et al. (2009) where far larger
                 torque values were allowed. The best balance controller
                 is able to balance the acrobot in the inverted position
                 when starting from the balance position for the length
                 of time used in the fitness function in all runs;
                 furthermore, 47 out of 50 of the runs evolve
                 controllers able to maintain the balance position for
                 an extended period, an improvement on the balance
                 controllers generated by Dracopoulos and Nichols
                 (2012), which this paper is extended from. The most
                 successful balance controller is also able to balance
                 the acrobot when starting from a small offset from the
                 balance position for this extended period.",
}

Genetic Programming entries for Dimitris C Dracopoulos Barry D Nichols

Citations