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Research of Modified Quantum Genetic Algorithm and It’s Application in Collision Detection

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Book cover Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 93))

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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 is 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 solve this problem. The results show that this method is efficient, especially in large-scale scenes.

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References

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Author information

Authors and Affiliations

  1. College of Computer science and technology, SouthWest University of Science and Technology, MianYang, SiChuan, 621010, China

    Jue Wu & Lei Yang

  2. College of Computer Science and Technology, SouthWest Petroleum University, Chengdu, Sichuan, 610500, China

    Jue Wu & LiXue Chen

  3. College of Computer science and education software, Guangzhou university, Guangzhou, Guangdong, 510006, China

    LingXi Peng

Authors
  1. Jue Wu
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  2. LiXue Chen
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  3. Lei Yang
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  4. LingXi Peng
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui,, China

    De-Shuang Huang

  2. School of Computing and Intelligent Systems, University of Ulster at Magee Campus, BT48 7JL, Derry, Northern Ireland, UK

    Martin McGinnity

  3. Laboratoire LITIS, Université de Rouen, 76800, Saint Etienne du Rouvray, France

    Laurent Heutte

  4. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada

    Xiao-Ping Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Wu, J., Chen, L., Yang, L., Peng, L. (2010). Research of Modified Quantum Genetic Algorithm and It’s Application in Collision Detection. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-14831-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14830-9

  • Online ISBN: 978-3-642-14831-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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