• DocumentCode
    3018884
  • Title

    Knowledge evolution algorithm for series-parallel system reliability optimization

  • Author

    Chang-jian Luo ; Hui-min Ma

  • Author_Institution
    Bus. Sch., Univ. of Shanghai for S&T, Shanghai, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    The problem of system reliability optimization is studied, and in order to solve this problem, a new algorithm of optimization based on a knowledge evolution algorithm was put forward. The detailed realization of the method is illustrated. Examples in other references are recomputed and both simulation results are compared. It can be found that the efficiency and superiority of the algorithm in solving system reliability.
  • Keywords
    computational complexity; evolutionary computation; reliability theory; knowledge evolution algorithm; series-parallel system reliability optimization; Computers; Educational institutions; Heuristic algorithms; Mathematical model; Optimization; Reliability engineering; combinatorial optimization; evolutionary computation; knowledge evolution algorithm; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885055
  • Filename
    6885055