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由于遗传算法的整体搜索策略和优化计算时不依赖于梯度信息，所以它的应用范围非常广泛，尤其适合于处理传统搜索方法难以解决的高度复杂的非线形问题一对此，本文来用遗传算法对一特定拓扑结构的四分之一波长短截线滤波器进行优化，显示了其在微波电路优化中具有很大的潜在优势。
Because the whole search strategy and optimization of genetic algorithm do not depend on gradient information, it has a wide range of applications and is especially suitable for dealing with highly complex nonlinear problems that are difficult to be solved by traditional search methods. In this paper, Genetic Algorithm Optimization of a quarter-wavelength stub filter of a particular topology shows that it has great potential advantages in microwave circuit optimization.