提出一种使用遗传算法和模糊逻辑相结合进行系统可靠性优化分配的新方法。该方法使用模糊逻辑对系统研制初期可靠性设计中所存在的不精确限制条件和设计目标进行数学建模 ,然后利用遗传算法对数学模型进行求解。该方法充分利用了模糊逻辑的建模效率和遗传算法的搜索效率 ,大大提高了系统可靠性分配的效率和精度。本文首先以两单元串联系统的可靠度优化为例进行说明 ,然后将算法扩展至多单元系统的可靠度及冗余度优化问题的求解。数值仿真实例显示了算法的性能和可行性。 A new method of optimal allocation of system reliability using genetic algorithm and fuzzy logic is proposed. The method uses fuzzy logic to mathematically model the imprecise constraints and design goals in the initial reliability design of the system, and then uses the genetic algorithm to solve the mathematical model. The method takes full advantage of fuzzy logic modeling efficiency and genetic algorithm search efficiency, greatly improving the efficiency and accuracy of system reliability distribution. In this paper, the reliability of two-unit series system is first taken as an example to illustrate. Then, the algorithm is extended to solve the reliability and redundancy optimization problem of multi-cell system. The numerical simulation shows the performance and feasibility of the algorithm.