• DocumentCode
    2487556
  • Title

    The Research on the Matching Design of the Ship-Engine-Propeller Based on Multi-Objective Particle Swarm Optimization

  • Author

    Liu Aihua ; Fan Shidong

  • Author_Institution
    Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The matching design problem of the ship-engine-propeller is a non-linear constrained multi-objective optimization problem which is performed based on multiple objectives,such as system efficiency and the life cycle cost. A multi-objective particle swarm optimization (MOPSO) approach for matching design problem of the ship-engine-propeller problem is presented in this paper.A real matching design problem of the ship-engine-propeller is employed to demonstrate applicability of the proposed approach.The results indicate that multi-objective particle swarm optimization approach in comparison with most of multi-objective optimization algorithms such as the multiple objective genetic algorithm (MOGA) is simple ,efficient and operable.
  • Keywords
    design engineering; particle swarm optimisation; propellers; shipbuilding industry; ships; matching design problem; multiobjective particle swarm optimization; propeller; ship engine; Algorithm design and analysis; Constraint optimization; Cost function; Design optimization; Engines; Fuels; Marine vehicles; Particle swarm optimization; Power engineering and energy; Propellers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473726
  • Filename
    5473726