• DocumentCode
    742490
  • Title

    Ordering Heuristics for Reliability Evaluation of Multistate Networks

  • Author

    Guanghan Bai ; Zuo, Ming J. ; Zhigang Tian

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Alberta., Edmonton, AB, Canada
  • Volume
    64
  • Issue
    3
  • fYear
    2015
  • Firstpage
    1015
  • Lastpage
    1023
  • Abstract
    This paper develops ordering heuristics to improve the efficiency of reliability evaluation for multistate two-terminal networks given all minimal path vectors ( d-MPs for short). In the existing methods, all d-MPs are treated equally. However, we find that the importance of each d-MP is different, and different orderings affect the efficiency of reliability evaluation. Based on the above observations, we introduce the length definitions for d-MPs in a multistate two-terminal network, and develop four ordering heuristics, called O1, O2, O3, and O4, to improve the efficiency of the Recursive Sum of Disjoint Products (RSDP) method for evaluating network reliability. The results show that the proposed ordering heuristics can significantly improve the reliability evaluation efficiency, and O1 performs the best among the four methods. In addition, an ordering heuristic is developed for the reliability evaluation of multistate two-terminal networks given all minimal cut vectors ( d-MCs).
  • Keywords
    graph theory; network theory (graphs); reliability; O1 heuristics; O2 heuristics; O3 heuristics; O4 heuristics; RSDP method; d-MP; minimal path vectors; multistate two-terminal networks; network reliability; ordering heuristics; recursive sum of disjoint product method; reliability evaluation; Indexes; Mechanical engineering; Periodic structures; Production; Reliability; Scholarships; Transportation; Minimal cut vectors; minimal path vectors; multistate reliability; ordering heuristics; two-terminal networks;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2015.2430491
  • Filename
    7109927