• DocumentCode
    324616
  • Title

    A discrete-time primal-dual assignment network

  • Author

    Wang, Jun ; Xia, Youshen

  • Author_Institution
    Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
  • Volume
    2
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    1596
  • Abstract
    Presents a discrete-time recurrent neural network for solving the assignment problem. Because the proposed recurrent neural network solves the primal and dual assignment problems simultaneously, it is called the primal-dual assignment network. The primal-dual assignment network is guaranteed to make optimal assignment regardless of initial conditions. Unlike the primal or dual assignment network, there is no time-varying design parameter in the primal-dual assignment network. Therefore, it is more suitable for hardware implementation. The performance and operating characteristics of the primal-dual assignment network are demonstrated by means of illustrative examples
  • Keywords
    combinatorial mathematics; discrete time systems; duality (mathematics); optimisation; recurrent neural nets; discrete-time primal-dual assignment network; operating characteristics; optimal assignment; performance characteristics; Automation; Differential equations; Hardware; Job design; Job production systems; Neural networks; Pattern classification; Printed circuits; Recurrent neural networks; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-4859-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1998.686016
  • Filename
    686016