• DocumentCode
    527635
  • Title

    Research on partners selection of collaborative design based on ant and genetic algorithm

  • Author

    Wang, Youyuan ; Xu, Weiping

  • Author_Institution
    Inst. of Ind. Eng., Nanchang Hangkong Univ., Nanchang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    554
  • Lastpage
    557
  • Abstract
    Optimizing collaborative design process can cut down the time to market, thus, acquire competitive advantage. Partner is very important to collaborative design, optimal combination of partners is a prerequisite for collaborative design, picking the wrong partner hurt both productivity and profitability. The issue of partners selection is a combinational optimize, this paper put forward a new method based on combination of genetic algorithm and ant algorithm, using genetic algorithm to generate preliminary pheromone distribution for ant algorithm, then ant algorithm search for optimal result, the method is applied simulation.
  • Keywords
    combinatorial mathematics; genetic algorithms; product design; productivity; profitability; ant algorithm searching; collaborative design optimization; combinational optimization; genetic algorithm; partners selection; pheromone distribution; productivity; profitability; Algorithm design and analysis; Collaboration; Companies; Genetics; Optimization; Time to market; ant algorithm; genetic algorithm; partners selection;
  • 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.2010.5583480
  • Filename
    5583480