装配式剪力墙结构的优化设计中，预制构件的位置优化是控制成本的重要方法。在预制构件选型确定的情况下，结合免疫遗传算法，以最小预制构件体积为目标函数，以结构扭转位移比及层间位移角为约束条件，对预制剪力墙-梁组合构件的位置进行优化。算例优化结果表明，结合免疫遗传算法的装配式剪力墙位置优化结果在满足结构约束条件的同时，预制构件体积更小、更具经济性。

The optimization of the location of precast components is an important method of cost control in the optimal design of prefabricated shear wall structures. With the selection of precast components determined, the location of precast wall-beam combined components is optimized by combining immune genetic algorithm, the minimum precast component volume is the objective function, the structural torsional displacement ratio and story drifts are the constraints. The optimization results of the algorithm show that the optimized location of the precast components combined with the immune genetic algorithm can satisfy the structural constraints, the volume of the precast components is smaller and the optimization is more economical.