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
Link To Document :
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