To meet the strength and ductility demands of members in the seismic design of RC piers, reinforcement schemes are often modified by means of the experiences of designers, which will increase the difficulty of structures design and reduce the work efficiency. To solve this problem, the calculation method of the crossover and mutation rate in the general adaptive genetic algorithm was improved. The crossover and mutation rate was adjusted dynamically as the values of the fitness and the seismic design method for reinforcement concrete piers based on the adaptive genetic algorithm was proposed. Auto random orientation search was realized to get the solutions that match the design conditions. The method will be helpful to generate the new population modes. It can also prevent the calculation from local convergence in searching solutions and improve the robustness of the algorithm. In calculation on the flexural capacity and displacement ductility coefficient of each population individual, the method of moment-curvature relationship of RC piers based on the adaptive genetic algorithm was proposed to improve the solution efficiency. From the design examples, it can be seen that the method in the paper is fast and effective. The manual intervention is not needed in the calculation and artificial intelligence on the seismic design of RC piers can be realized.