• DocumentCode
    1618882
  • Title

    Different Shape Object Layout Problem Solving Based on Genetic Algorithm

  • Author

    Jun-lin, Qiu ; Ya-hong, Zhang ; Wan-li, Feng ; Cheng-hao, Han

  • Author_Institution
    Fac. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
  • fYear
    2012
  • Firstpage
    1766
  • Lastpage
    1769
  • Abstract
    Through analyzing the characteristics of the layout of different shape objects, according to the basic idea of genetic algorithm, which is proposed based on the layout algorithm for different objects. The algorithm to select the appropriate encoding method, genetic operators and the appropriate adaptive function, The experimental results show that the algorithm converges fast to solve premature, and that in a short time to get a better layout program.
  • Keywords
    bin packing; genetic algorithms; adaptive function; encoding method; genetic algorithm; genetic operators; shape object layout problem solving; Biological cells; Computers; Encoding; Genetic algorithms; Genetics; Layout; Shape; Different shape object; Genetic algorithm; Layout solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.467
  • Filename
    6322757