• DocumentCode
    510129
  • Title

    Research on Path Planning for Tooth Movement Based on Genetic Algorithms

  • Author

    Li, Zhanli ; Li, Kangjun ; Li, Binjie

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    Based on the analysis of the path planning for tooth movement in virtual orthodontics treatment system, the objective of path planning and the constraints of tooth moving was proposed, and a mathematical model was established. The genetic algorithm was selected to solve the path planning for tooth movement. The fitness function was defined as the weighted sum of the motion distance, the rotation angle and a value related with the constraints of tooth movement. Roulette wheel selection operator, one-point crossover operator and simple mutation operator was defined. Based on the model and method, a software is developed by using Visual C++ and OpenGL for the path planning of tooth movement. Experiments show that the model and the method are reliable and effective.
  • Keywords
    C++ language; biology computing; dentistry; genetic algorithms; orthotics; path planning; virtual reality; OpenGL; Roulette wheel selection operator; Visual C++; fitness function; genetic algorithms; mathematical model; motion distance weighted sum; mutation operator; one-point crossover operator; path planning; rotation angle; tooth movement; virtual orthodontics treatment system; Algorithm design and analysis; Artificial intelligence; Computational intelligence; Computer science; Educational institutions; Genetic algorithms; Mathematical model; Path planning; Teeth; Wheels; genetic algorithm; path planning; tooth movement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.422
  • Filename
    5376251