• DocumentCode
    3751668
  • Title

    Application of evolutionary algorithm to multiobjective optimization of hydraulic actuation system

  • Author

    V. Averchenkov;P. Kazakov;V. Kazakov;A. Reutov;F. Lozbinev

  • Author_Institution
    Information Technologies Department, Bryansk State Technical University, Russia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An approach to improve the quality of the design hydraulic actuator by means of solving this problem as a multiobjective is suggested. A mathematical model of multiobjective optimization design and operating parameters of the hydraulic actuator is considered. All the set of Pareto-optimal alternatives is obtained for decision making in selection of the best variant of hydraulic actuator. The special genetic algorithm for Pareto-set obtaining was developed.
  • Keywords
    "Hydraulic actuators","Optimization","Sociology","Statistics","Mathematical model","Genetic algorithms","Pistons"
  • Publisher
    ieee
  • Conference_Titel
    Mechanical Engineering, Automation and Control Systems (MEACS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/MEACS.2015.7414856
  • Filename
    7414856
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3751668