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利用遗传算法对线性二次型调节器（ＬＱＲ）进行优化设计，以寻找最优控制指标中状态变量与输入变量加权矩阵的最优解．仿真结果表明，利用此方法不仅可以得到满足要求的全局最优解，而且该方法的简便易行也是传统设计中依靠人工调节所无法比拟的．
The genetic algorithm is used to optimize the linear quadratic regulator (LQR) in order to find the optimal solution of the state variables and the input variables weighted matrix in the optimal control index. The simulation results show that this method can not only get the global optimal solution that meets the requirements, but also the simple and convenient method is unmatched by traditional design.