• DocumentCode
    3216024
  • Title

    A novel algorithm for shortest path problem based on pulse coupled neural network

  • Author

    Wu Xueli ; Gu Yapei ; Zhang Jianhua

  • Author_Institution
    Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    2468
  • Lastpage
    2473
  • Abstract
    This article brings forward a novel approach for collision free shortest path based on the autowave propagation characteristic of Pulse Couple Neural Network´s. The proposed algorithm can find the shortest path quickly and accurately by rapid parallel computation, and has simper structure compared with the traditional method. In this work, the theories of the proposed algorithm have been analyzed in detail, and the specific algorithm and the experimental results have been put forward. Simulations are carried out to illustrate the performance of the proposed method.
  • Keywords
    combinatorial mathematics; neural nets; optimisation; autowave propagation characteristic; collision free shortest path; pulse coupled neural network; rapid parallel computation; shortest path problem; Analytical models; Computational modeling; Fires; Firing; Neurons; Path planning; Shortest path problem; Autowave; Collision free; Path planning; Pulse Couple Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162336
  • Filename
    7162336