• DocumentCode
    2995054
  • Title

    Research on model of cooperative technology service based on genetic fusion algorithm

  • Author

    Yu Tian-biao ; Ding Jun-mei ; Song Ya-hong ; Wang Na ; Wang Wan-shan

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    1673
  • Lastpage
    1679
  • Abstract
    This paper has researched the technical service mode firstly, put forward to the JSP manufacturing technology service platform adapting information, scientific, networked, specialization, and coordination, and set up the framework of the application technology service platform. The way of the manufacturing technology service knowledge fusion has been proposed, around the advantages of genetic algorithm, the genetic fusion algorithm has put forward, and the knowledge fusion system function model was set up using for the technical service. And then the technical service knowledge base structure was built using the object-oriented technical knowledge representation method form the concept of knowledge element. Knowledge fusion adaptive genetic algorithm which could be used for knowledge fusion was designed in order to achieve technical service Knowledge fusion. Finally, the feasibility of technology service knowledge fusion was proved through the simulation analysis of this algorithm.
  • Keywords
    genetic algorithms; knowledge representation; manufacturing systems; object-oriented programming; JSP manufacturing technology service platform; cooperative technology service; genetic fusion algorithm; object-oriented technical knowledge representation; service knowledge fusion; technical service; Algorithm design and analysis; Companies; Genetic algorithms; Genetics; Knowledge engineering; Libraries; Manufacturing; genetic algorithm; knowledge base; knowledge fusion; networked collaboration; technology service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2012 International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4673-3015-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2012.6414397
  • Filename
    6414397