Defensive strategy optimization of consecutive-k-out-of-n systems under deterministic external risks

Jiangbin Zhao, Zaoyan Zhang, Tianbo Xu, Xiangang Cao, Qiyu Wang, Zhiqiang Cai

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Consecutive-k-out-of-n (Con/k/n) system, a reconfigurable system, can improve the system performance by adjusting the redundancy and assignment of components. This paper aims to determine the optimal defensive strategy of Con/k/n systems under external risks. The defensive capability of Con/k/n systems is evaluated based on real-time system reliability, and a defensive importance measure (DIM) is constructed to optimize components’ redundancy locally. To solve the proposed optimization model effectively, a DIM-based genetic algorithm (DIGA) is developed by integrating the advantages of DIM’s local search with the global search ability of the classical genetic algorithm (CGA). The numerical experiment under 36 scenarios illustrates that DIGA is more effective than CGA verified by average defensive capability, robustness, and convergence generations. Moreover, the redundancy distribution analysis of Con/k/5 systems in the optimal defensive strategy shows that the redundancy of F(G) systems is in a spaced (continuous) way under spacing k-1 risk or continuous k risk.

Original languageEnglish
Pages (from-to)306-316
Number of pages11
JournalEksploatacja i Niezawodnosc
Volume24
Issue number2
DOIs
StatePublished - 2022

Keywords

  • consecutive-k-out-of-n system
  • defensive capability
  • external risks
  • redundancy distribution
  • strategy optimization

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