基于模糊机会约束规划的可靠性优化设计

STUDY ON THE PROBLEM OF PRODUCT RELIABILITY BASED ON CHANCE CONSTAINED PROGRAMMING

针对系统可靠性设计模型参数的不确定性,运用模糊机会约束规划理论,对具有N个子系统,每个子系统有多种设计可选的可靠性优化问题建立模糊机会约束规划模型,并以模糊模拟的遗传算法为基础,对模糊模拟检验系统约束进行改进。给出基于模糊模拟的遗传算法求解步骤,通过实例验证了对模糊模拟检验系统约束改进的可行性,使解的搜索空间从可行和不可行域逼近最优解,在一定程度上提高了搜索速度和效率。

For the parameters of product reliability design are uncertain, based on the Liu's fuzzy chance constrained theory, provides a fuzzy chance constrained programming module of product reliability design that has N sub-systems and several designs can be chosen in every sub-system, on the basis of Liu's fuzzy simulated based genetic algorithm, improves to check fuzzy simulation for the fuzzy chance constrains. And provides the steps of a fuzzy simulated based genetic algorithm, an instance is given to test that the improvement is reliable, and in search of solution can converge from feasible and unfeasible field, and the searching speed can be improved.