An immune genetic algorithm (IGA) is proposed to optimize the reinforced concrete (RC) frame-shear wallstructures. Compared with the simple genetic algorithm (SGA), this algorithm has adaptive search capabilities for the futureknowledge being used in the process of population evolution. Since the concrete grade of floors and the layout ofwalls are translated to binary codes, the implementation of this algorithm is not affected by the complexity of the structures.With I-typed vaccine, the continuous vertical stiffness of structure is ensured; With II-typed vaccine, the structuresconforms to all the specifications which including floor shift angle, floor displacement ratio and period ratio. At the elementlevel, the optimizing results satisfy all the specifications required by the current Chinese Codes. In this way, a computerprogram is created to get optimum design schemes.
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