{"title":"确定性外部风险下连续k / n系统的防御策略优化","authors":"Jiangbin Zhao, Zaoyan Zhang, Tianbo Xu, Xian-gang Cao, Qiyu Wang, Zhiqiang Cai","doi":"10.17531/ein.2022.2.12","DOIUrl":null,"url":null,"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.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"9 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Defensive strategy optimization of consecutive-k-out-of-n systems under deterministic external risks\",\"authors\":\"Jiangbin Zhao, Zaoyan Zhang, Tianbo Xu, Xian-gang Cao, Qiyu Wang, Zhiqiang Cai\",\"doi\":\"10.17531/ein.2022.2.12\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":50549,\"journal\":{\"name\":\"Eksploatacja I Niezawodnosc-Maintenance and Reliability\",\"volume\":\"9 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2022-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eksploatacja I Niezawodnosc-Maintenance and Reliability\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.17531/ein.2022.2.12\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.17531/ein.2022.2.12","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
摘要
连续k-out- n (Con/k/n)系统是一种可重构系统,可以通过调整冗余度和组件分配来提高系统性能。本文旨在确定外部风险下Con/k/n系统的最优防御策略。基于系统实时可靠性对Con/k/n系统的防御能力进行了评估,并构造了一个防御重要性测度(DIM)来局部优化组件的冗余度。为了有效求解该优化模型,将DIM的局部搜索优势与经典遗传算法的全局搜索能力相结合,提出了一种基于DIM的遗传算法(DIGA)。36个场景下的数值实验表明,从平均防御能力、鲁棒性和收敛代数等方面验证了DIGA算法比CGA算法更有效。此外,对最优防御策略下Con/k/5系统的冗余分布分析表明,在间隔k-1风险和连续k风险下,F(G)系统的冗余是间隔(连续)的。
Defensive strategy optimization of consecutive-k-out-of-n systems under deterministic external risks
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.
期刊介绍:
The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects. We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically. Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.