• DocumentCode
    2105337
  • Title

    Research of Relief Pattern Design Based on Improved Genetic Algorithm

  • Author

    Tang, Luxin ; Yao, Huan ; Zhang, Zhijun ; Liu, Jun

  • Author_Institution
    Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    459
  • Lastpage
    462
  • Abstract
    Due to the characters of broad application scope, large-scale industrialization production, artistic and unique design, modeling flexible characteristic in modern relief ornament, the critical issue of modern relief design is the patternpsilas originality, the flexibility and the easy workability. This article applies the genetic algorithm and the Boolean calculation in the relief design, and makes the improvement to the tradition genetic algorithm, using the shape of tree encoding method to increase the flexibility of modeling curve, and adaptive ascertaining crossover and variation probability to avoid the iterative process dispersing and falling into the local minimum. The simulation results conclude that this algorithm can produce massive curve elements with good nature and form multifarious relief designs finally.
  • Keywords
    Boolean algebra; computer graphics; genetic algorithms; iterative methods; workability; Boolean calculation; adaptive ascertaining crossover; genetic algorithm; iterative process; large-scale industrialization production; massive curve elements; modeling curve; relief pattern design; tree encoding method; variation probability; Algorithm design and analysis; Encoding; Genetic algorithms; Iterative algorithms; Iterative methods; Large-scale systems; Probability; Production; Shape; Workability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.189
  • Filename
    4731977