• DocumentCode
    2021373
  • Title

    Study on Methods of Delamination-Parallel Genetic Chaos of Synthetically Optimizing Mechanics Properties for Ships

  • Author

    Zhao-long, Yang ; Song-lin, Yang ; Shu-ling, Chen

  • Author_Institution
    Jiangsu Univ., Zhenjiang
  • Volume
    1
  • fYear
    2008
  • fDate
    17-18 Oct. 2008
  • Firstpage
    364
  • Lastpage
    368
  • Abstract
    In this paper, a mathematical model of synthetically optimizing mechanics properties for ships is constructed. Basing on delamination, parallel algorithm, genetic algorithm (GA) and chaos algorithm, then a delamination-parallel genetic chaos algorithm basing on delicate variables´ segments is advanced. This complex algorithm is programmed by VC++ into software which has a user-friendly graphical interface of good interactivity and applied to solving that mathematical model of synthetically optimizing mechanics properties for ships. Quantities of computation results of different solving methods show that compared with other methods such as GA, chaos algorithm and their parallel algorithms, this complex algorithm can overcome GA´s premature convergence and is reliable and efficient so that it lays a solid foundation for form optimization and design evaluation of ships.
  • Keywords
    C++ language; chaos; delamination; genetic algorithms; mechanical engineering computing; parallel algorithms; ships; VC++; chaos algorithm; delamination-parallel genetic chaos method; design evaluation; genetic algorithm; mathematical model; parallel algorithm; ships; synthetically optimizing mechanics properties; Chaos; Concurrent computing; Delamination; Genetic algorithms; Marine vehicles; Mathematical model; Mechanical factors; Optimization methods; Parallel algorithms; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3311-7
  • Type

    conf

  • DOI
    10.1109/ISCID.2008.198
  • Filename
    4725628