Reliability optimization of a series-parallel system with fuzzy random lifetimes

Shuming Wang, Junzo Watada

    研究成果: Article

    30 引用 (Scopus)

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    This paper studies reliability optimization of a series-parallel system with fuzzy random lifetimes. A fuzzy random reliability model is developed to maximize the system reliability. Since the reliability function consists of fuzzy random parameters, classical mathematical programming methods is not applicable to the reliability model. Therefore, in order to solve the model, a fuzzy random simulation method is first proposed to compute the system reliability, and a theorem is proved which ensures the convergence of the fuzzy random simulation. Furthermore, a hybrid binary particle swarm optimization (BPSO) algorithm incorporating the fuzzy random simulation is proposed. Finally, a numerical example is provided to illustrate the proposed hybrid algorithm.

    元の言語English
    ページ(範囲)1547-1558
    ページ数12
    ジャーナルInternational Journal of Innovative Computing, Information and Control
    5
    発行部数6
    出版物ステータスPublished - 2009 6

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Information Systems
    • Software
    • Theoretical Computer Science

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