DocumentCode
1975266
Title
A Collision Detection Algorithm Based on Modified Quantum Genetic Algorithm
Author
Wu, Jue ; Chen, LiXue ; Peng, Lingxi ; Yang, Lei
Author_Institution
Coll. of Comput. Sci. & Technol., South West Pet. Univ., Mianyang, China
fYear
2010
fDate
20-22 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
Collision detection is very important for improving the truth and immersion in the virtual environment. The paper analyzes the problems that exist in the normal algorithm. And there are no algorithm which is suitable to every situation. And the more complex the situations are, the more inefficient the algorithm is. The paper converts the problem of the collision detection to the non-linear programming problem with restricted condition. And use the modified quantum genetic algorithm to solute this problem. The results show that this method is efficient, especially in large-scale scenes.
Keywords
genetic algorithms; large-scale systems; nonlinear programming; quantum computing; collision detection algorithm; large-scale scenes; modified quantum genetic algorithm; nonlinear programming problem; virtual environment; Detection algorithms; Evolutionary computation; IEEE Press; Programming profession; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Applications, 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5142-5
Electronic_ISBN
978-1-4244-5143-2
Type
conf
DOI
10.1109/ITAPP.2010.5566164
Filename
5566164
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