Volume 39 Issue 8
Aug.  2013
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Sun Dianzhu, Shi Yang, Liu Huadong, et al. Solution of minimum bounding box of scattered points based on genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(8): 995-998. (in Chinese)
Citation: Sun Dianzhu, Shi Yang, Liu Huadong, et al. Solution of minimum bounding box of scattered points based on genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(8): 995-998. (in Chinese)

Solution of minimum bounding box of scattered points based on genetic algorithm

  • Received Date: 16 Aug 2012
  • Rev Recd Date: 10 Apr 2013
  • Publish Date: 30 Aug 2013
  • An algorithm of minimum bounding box combining genetic algorithm with O'Rourke's algorithm was proposed, which regarded the volume function in O'Rourke's algorithm as the objective function and used the evolutionary factors to guide the searching directions. Through the process of the population's iterative generation, this algorithm narrowed the search area and the volume error. When the iterative process was over, the minimum bounding box was obtained by decoding the optimal individuals. The experimental results show that the algorithm can improve algorithmic efficiency and satisfy the volume accuracy simultaneously. The algorithm can deal with sorts of problems related to minimum bounding box fast solving of complex scattered point cloud.

     

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