A Darwinian approach to the actuator number and placement problem with non-negligible actuator mass

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

@Article{Zimmerman:1993:MSSP,
  author =       "David C. Zimmerman",
  title =        "A Darwinian approach to the actuator number and
                 placement problem with non-negligible actuator mass",
  journal =      "Mechanical Systems and Signal Processing",
  year =         "1993",
  volume =       "7",
  pages =        "363--374",
  number =       "4",
  abstract =     "The problem of optimal actuator number and placement
                 for the vibration control of large flexible space
                 structures is addressed. The inherent mass of the
                 actuators is integrated in the number and placement
                 algorithm. The algorithm uses concepts from genetic
                 programming, which is loosely based on Darwin's
                 survival of the fittest theories. The paper develops
                 the genetic algorithm in the context of the actuator
                 number and placement problem. Examples are presented
                 which demonstrate the genetic algorithm and the effect
                 of actuator mass on the placement and number problem.",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6WN1-45P695X-P/2/f57ddb902c8f69ea01737429863c4277",
  keywords =     "genetic algorithms, genetic programming",
}

Genetic Programming entries for David C Zimmerman

Citations