• DocumentCode
    3421592
  • Title

    Improved adaptive leap particle swarm algorithm dynamic optimization method against electromechanical coupling system

  • Author

    Sun Yan ; Zhao Weiguo ; Li Qiang ; Wu Jianxin

  • Author_Institution
    Coll. of Mech. Eng., Inner Mongolia Univ. of Technol., Hohhot, China
  • Volume
    3
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Abstract
    Dynamic optimization of electromechanical coupling system is a multi-subject problem on mechanics theory. The optimization of such kind problem is studied. Particle swarm optimization (PSO) is introduced. In order to resolve the insufficiency, a new kind of adaptive leap particle swarm optimization (ALPSO) is presented and the astringency analysis is finished. Finally, ALPSO is used to optimize electromechanical coupling reshape machine tool principal axis system. The results of application example proved that practical optimization parameters can be obtained in limited time by the method, and it is a kind of effective way to solve such kind of problem.
  • Keywords
    couplings; dynamic programming; machine tools; particle swarm optimisation; adaptive leap particle swarm optimization; astringency analysis; dynamic optimization; electromechanical coupling reshape machine tool principal axis system; electromechanical coupling system; mechanics theory; multisubject problem; Algorithm design and analysis; Birds; Design engineering; Educational institutions; Evolutionary computation; Heuristic algorithms; Marine animals; Mechanical engineering; Optimization methods; Particle swarm optimization; Dynamic optimization; Electromechanical coupling system; Particle swarm algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design and Applications (ICCDA), 2010 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-7164-5
  • Electronic_ISBN
    978-1-4244-7164-5
  • Type

    conf

  • DOI
    10.1109/ICCDA.2010.5541013
  • Filename
    5541013