基于部件指派的多状态系统可靠度优化研究

Multi-state System Reliability Optimization based on Component Assignment

针对一般二态系统假设的不足,提出了多状态系统条件下的可靠度优化指派问题。该问题以系统可靠度最大化为优化目标,在考虑部件分配成本和总分派成本预算的前提下,对多状态系统下不同状态对应的性能水平的进行了分析,给出了基于通用生成函数的多状态系统的可靠度评估方法。根据指派问题的组合优化的特性和多状态系统可靠性评估的特点,对传统遗传算法的适应度函数进行了改进,设计了基于整数编码的遗传算法,该算法具有离散变量的设计灵活性和强大的搜索性能。算例实验表明,本文设计的优化算法具有较好的求解质量,同时算法的运行时间也得到了大幅的缩短。本研究为多状态系统的可靠度优化提供了一条可借鉴的思路。

To extend the binary state assumption,multi-state system reliability is to be optimized by component rearrangement in this research.The objective is to maximize the system reliability subject to total assignment cost budget.Universal generating function method is employed to assess the system availability as system reliability evaluation.This research employs an improved genetic algorithm to solve this combination optimization problem.Genetic algorithm has the advantage of flexible discrete variable design and robust search capability.A numerical experiment is conducted to validate the algorithm.The results of numerical experiment show that the proposed algorithm has satisfactory solution quality and can solve the problem efficiently in computational time.This research provides some implications for the multi-state system reliability optimization.