• DocumentCode
    883922
  • Title

    Experimental results on preprocessing of path/cut terms in sim of disjoint products technique

  • Author

    Soh, Sieteng ; Rai, Suresh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
  • Volume
    42
  • Issue
    1
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    24
  • Lastpage
    33
  • Abstract
    Researchers have proposed cardinality-, lexicographic-, and Hamming-distance-order methods to preprocess the path terms in sum of disjoint products (SDP) techniques for network reliability analysis. For cutsets, an ordering based on the node partition associated with each cut is suggested. Experimental results showing the number of disjoint products and computer time involved in generating SDP terms are presented. Nineteen benchmark networks containing paths varying from 4 to 780, and cuts from 4 to 7376, are considered. Several SDP techniques are generalized into three propositions to find their inherent merits and drawbacks. An efficient SDP technique is then used to run input files of paths/cuts preprocesses using cardinality-, lexicographic-, and Hamming-distance-ordering, and their combinations. The results are analyzed, showing that preprocessing based on cardinality or its combinations with lexicographic-, and/or Hamming-distance-ordering performs better
  • Keywords
    graph theory; probability; reliability theory; Boolean techniques; Hamming-distance-order; benchmark networks; cardinality ordering; computer time; cutsets; lexicographic ordering; network reliability analysis; node partition; path/cut terms; preprocessing; probability; sim of disjoint products; Absorption; Boolean algebra; Boolean functions; Computer networks; Data preprocessing; Hamming distance; Intelligent networks; Iterative algorithms; Performance analysis; Polynomials;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.210267
  • Filename
    210267