Abstract
Consecutive k-out-of-n Systems are widely used in practical engineering, including pipeline systems, quality control sampling systems, and vacuum acceleration systems. This paper focuses on how to evaluate the system's defensive capability quantitatively. Under cost constraints, the optimization model of defensive capability for consecutive k-out-of-n: F systems are established. The genetic algorithm based on defensive importance measure is designed to solve the mentioned mathematical model. The results of simulation experiments verify that defensive importance-based optimization algorithm applies to solving the optimal configuration under various risk scenarios, and the distribution laws of the optimal configuration under continuous risk or equal interval risks are summarized.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
