• DocumentCode
    2462889
  • Title

    A generative concept design model based on parallel evolutionary strategy

  • Author

    Zang, Wenke ; Wang, Guangchen

  • Author_Institution
    School of Mathematical Sciences, Shandong Normal University, Jinan Shandong, 250014, China
  • fYear
    2010
  • fDate
    14-16 April 2010
  • Firstpage
    748
  • Lastpage
    752
  • Abstract
    In relation to the lack of design and innovative approach in conceptual design for the current prototype system, a parallel evolutionary strategy based on self-adaptive learning mechanism is developed to realize generative design. The 3-layer model named community-population-individual is proposed by this model. As the data structure for collaborations between subpopulations, the Blackboard model is introduced. And three learning operators are designed, through which combines the advantages of parallel evolutionary and genetic learning that improves the performance of traditional evolutionary strategy effectively. The application shows that this model can perfectly improve the rate and level of design innovation, stimulate creative inspiration for designers.
  • Keywords
    Biological cells; Biological system modeling; Collaborative work; Concurrent computing; Data structures; Evolution (biology); Genetics; Learning systems; Mathematical model; Technological innovation; Conceptual Design; Evolutionary Strategy; Generative Design; Learning Mechanism; Parallel Evolutionary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2010 14th International Conference on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4244-6763-1
  • Type

    conf

  • DOI
    10.1109/CSCWD.2010.5471875
  • Filename
    5471875