For modern complex system, quality has become a serious and difficult problem that restricts the generation of combat effectiveness. Withal, based on domestic and foreign research and analysis, this paper puts forward a trade‐off method for complex system reliability, maintainability, supportability, testability (RMST) design, which is suitable for product design stage. First, aiming at the uncertain problem of complex system constrained optimization, the good‐point set population initialization, Deb feasibility comparison method and ε constraint method are integrated into the flower pollination algorithm, to construct the algorithm for RMST quotas design and trade‐off. Second, taking the typical series‐parallel repairable system as an example, one general model for complex system RMST quotas design and trade‐off based on effectiveness is constructed. Finally, take an unmanned nuclear radiation detection system as a typical case, to verify its feasibility, advantages, and disadvantages.

中文翻译：

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一种基于改进的花授粉算法的复杂系统可靠性，可维护性，可支持性，可测试性配额设计和权衡的通用方法

对于现代复杂系统，质量已成为严重和困难的问题，限制了战斗力的产生。结合国内外的研究和分析，提出了一种适用于产品设计阶段的复杂系统可靠性，可维护性，可支持性，可测试性（RMST）设计的折衷方法。首先，针对复杂系统约束优化的不确定性问题，善点集总体初始化Deb将可行性比较方法和ε约束方法集成到花授粉算法中，以构造用于RMST配额设计和权衡的算法。其次，以典型的串联-并联可修复系统为例，构建了一种基于有效性的复杂系统RMST配额设计和权衡的通用模型。最后，以无人核辐射探测系统为典型案例，验证其可行性，优缺点。