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对遗传算法（ＧＡ）进行改进，将改进后的遗传算法应用到模糊控制器的设计中．以工业过程控制为对象，通过二阶系统模型的计算机仿真表明：改进后的遗传算法比传统方法具有更好的控制性能，可实现模糊控制规则的自校正和量化因子的寻优．
The genetic algorithm (GA) is improved, and the improved genetic algorithm is applied to the design of fuzzy controller. Taking industrial process control as object, the computer simulation of the second-order system model shows that the improved genetic algorithm has better control performance than the traditional method, and the self-tuning of the fuzzy control rules and the optimization of the quantization factor can be realized.