A constraint importance measure-based beluga whale optimization algorithm for reliability redundancy allocation problems considering mixed redundancy strategy

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2025-06-20 DOI:10.1016/j.ress.2025.111382

Shuai Zhang , Huiqi Du , Zhiqiang Cai , Shubin Si , Jiangbin Zhao

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引用次数: 0

Abstract

The reliability redundancy allocation problem (RRAP) aims to maximize system reliability by determining the optimal combination of component reliability and subsystem redundancy. RRAP plays an important role in the reliability improvement of complex systems, and it is necessary to determine the cost-effective RRAP solution effectively for complex systems. This paper constructs the constraint importance measure (CIM) to identify the key subsystems by considering the relationship between objective function and constraints. A CIM-based local search rule is designed to improve the system reliability by making the best use of limited resources. CIM-based beluga whale optimization (CIMBWO) is developed by combining the advantages of CIM and BWO. In numerical experiments, compared with GA, PSO, and BWO, the performance of CIMBWO is verified by two benchmarks and 11 different scale hybrid systems. The results show that CIMBWO can get better solutions with fast convergence and high robustness.

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基于约束重要性测度的白鲸优化算法用于考虑混合冗余策略的可靠性冗余分配问题

可靠性冗余分配问题（RRAP）旨在通过确定部件可靠性和子系统冗余的最优组合，实现系统可靠性的最大化。RRAP在复杂系统可靠性提升中发挥着重要作用，为复杂系统有效确定经济有效的RRAP解决方案是十分必要的。本文通过考虑目标函数与约束之间的关系，构造约束重要性测度（CIM）来识别关键子系统。设计了一种基于cim的局部搜索规则，通过充分利用有限的资源来提高系统的可靠性。基于CIM的白鲸优化（cimwo）是结合CIM和BWO的优点而开发的。在数值实验中，通过两个基准测试和11个不同规模的混合系统，验证了CIMBWO与遗传算法、粒子群算法和BWO的性能。结果表明，该方法收敛速度快，鲁棒性好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.