• DocumentCode
    2445231
  • Title

    Near optimal solutions to the grid connection problem

  • Author

    Vedantham, Sundararajan ; Das, Sanjoy ; Iyengar, S. Sitharama

  • Author_Institution
    Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
  • Volume
    7
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    4623
  • Abstract
    Stochastic optimization using simulated annealing has found wide applications in combinatorial optimization of NP-complete problems in recent years, especially in VLSI related problems. The grid connection problem is a combinatorial optimization problem that is proven to be NP-complete. In this paper the simulated annealing algorithm has been applied to the grid connection problem. The authors also propose an algorithm for the grid connection problem based on certain heuristics. Results of the authors´ simulations show that while both algorithms do yield good solutions, those of the simulated annealing are superior to those of the heuristic algorithm, with rare exceptions
  • Keywords
    combinatorial mathematics; computational complexity; simulated annealing; combinatorial optimization; grid connection problem; heuristic algorithm; near optimal solutions; simulated annealing; stochastic optimization; Application software; Computational modeling; Computer science; Heuristic algorithms; Joining processes; NP-complete problem; Routing; Simulated annealing; Stochastic processes; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.375021
  • Filename
    375021