• DocumentCode
    2296307
  • Title

    Research on a genetic algorithm for solving module partition problem

  • Author

    Shi, Junyou ; Tao, Qingbin

  • Author_Institution
    Coll. of Electromech. Eng., QingDao Univ. of Sci. & Technol., Qingdao, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    4215
  • Lastpage
    4218
  • Abstract
    For solving module partition problem in mass customization, this paper presents an approach based on genetic algorithm. The main foundation of module partition is according to the structural and functional associated value between product component parts, the relevance between component parts in the product life cycle at different stages is analyzed comprehensively, and a relational matrix on relevance evaluation is established. The paper presents an objective function for module partition according to the principle of module partition. Then the genetic algorithm based on 0-1 matrix-coded method was adopted to resolve the module partition problem. Finally the effectiveness of the method was demonstrated with example.
  • Keywords
    genetic algorithms; matrix algebra; product customisation; product life cycle management; 0-1 matrix-coded method; genetic algorithm; mass customization; module partition principle; module partition problem; product component parts; product life cycle; relational matrix; relevance evaluation; Biological cells; Correlation; Couplings; Mass customization; Optimization; Partitioning algorithms; Polymers; genetic algorithm; mass customization; module partition; optimization; product family;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583679
  • Filename
    5583679