• DocumentCode
    2608547
  • Title

    A New Method of Parameters Optimization of Plant Growth Posture

  • Author

    Li, Xiang ; Zheng, Xiang ; Li, Yanli

  • Author_Institution
    Sch. of Comput. Sci. & Technol., China Univ. of Geosci., Wuhan, China
  • Volume
    4
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    114
  • Lastpage
    116
  • Abstract
    Plant simulation is one of hot research fields in computer graphics. But the choice of model parameters is related to the simulation results directly. The paper proposed a new method that used L-system and illumination model to establish plant simulation model. And using genetic algorithms to optimize parameters, and obtain a high fitness parameters group. Experiments results indicated that group simulation model established by parameters which was optimized by GA made full use of the plant phototropism and the interaction between plants, and it can avoid cross and overcast between trees and show up the space character of tree growing preferably. Results show that plants had a better growth profile, and made a true representation of the forest growth.
  • Keywords
    botany; computer graphics; genetic algorithms; L-system; computer graphics; forest growth; genetic algorithms; illumination model; parameters optimization; plant growth posture; plant phototropism; plant simulation model; Computational modeling; Computer science; Genetic algorithms; Geology; Graphics; Lighting; Optimization methods; Shape control; Solid modeling; Visualization; L-system; Parameters optimization; fitness; genetic algorithms; plant simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.338
  • Filename
    5169138