IGA was applied into PID controller parameters optimization.Compared with traditional genetic algorithm(TGA), the simulation results prove that IGA is more efficient.

• 将其应用于PID控制器的参数优化中，并与传统的遗传算法相比较，仿真结果证明了其有效性。