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

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@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