• DocumentCode
    2968840
  • Title

    Generating large scale network for solving the flow network problems

  • Author

    Chen, S.G.

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Tungnan Univ., Taipei, Taiwan
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1728
  • Lastpage
    1732
  • Abstract
    Since network analysis has been a formal topic in Operations Research as well as in Reliability, researchers may need to validate their models or theories with large scale feasible networks for test. This paper proposes an algorithm to generate a large scale capacitated/uncapacitated flow network for applications. Conventionally, NETGEN is employed for such purposes. But this program is about 30 years old and no algorithm available for verifying the properties of the generated networks. In this paper, a theoretical aspect and new features are addressed. This algorithm is not an extension of NETGEN. The same 40 benchmarks of NETGEN are compared in this paper. NETGEN had a limited size of 8000 nodes and 35000 arcs in different networks. The limits of nodes and arcs are not constrained in the proposed algorithm. Unlike NETGEN involving thousand lines of codes, a sample code of no more than 40 lines is tested for examples.
  • Keywords
    FORTRAN; network analysis; operations research; NETGEN algorithm; flow network problems; large scale feasible network; operations research; Application software; Costs; Engineering management; Industrial engineering; Large-scale systems; Operations research; Reliability theory; Shortest path problem; Testing; Transportation; NETGEN; Network flow; capacity assignment; maximal flow; minimal cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373150
  • Filename
    5373150