Robust Redundancy Allocation by the Min-max Regret Framework and Sequential Two-stage Approach

C. Y. Ling, J. Z. Lei, K. Z. He

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    To effectively and quickly solve the robust redundancy allocation problem under the Min-Max regret framework, a sequential two-stage approach is proposed. The proposed metaheuristic approach includes two stages: the first stage is to solve an optimization problem with regard to various scenarios, and the second stage is to search for the optimal solution of decision variables. These two stages are executed sequentially and iteratively until the preset termination condition is satisfied. The listed example demonstrates the performance of the proposed approach.
    Original languageEnglish
    Title of host publication2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)
    PublisherIEEE
    Pages243-247
    ISBN (Electronic)978-1-6654-8690-3
    DOIs
    Publication statusPublished - 2022
    Event13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022 - Hong Kong, China
    Duration: 21 Aug 202224 Aug 2022
    http://www.icrms2022.org

    Publication series

    NameInternational Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS

    Conference

    Conference13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022
    PlaceChina
    CityHong Kong
    Period21/08/2224/08/22
    Internet address

    Research Keywords

    • Min-Max regret
    • Redundancy allocation
    • Robust

    Fingerprint

    Dive into the research topics of 'Robust Redundancy Allocation by the Min-max Regret Framework and Sequential Two-stage Approach'. Together they form a unique fingerprint.

    Cite this