With the rapid development of wireless communication technology, digital filters are now key components in many modern digital systems. Dual-passband digital filter is an important module of digital filter and has attracted wide attention. This paper proposes a novel evolutionary method to design diversified structure digital filters. Our proposed method using an adaptive multiple-elites- guide composite differential evolution algorithm, coupled with a shift mechanism (AMECoDEs) doesn’t need to use known circuit structures. Structures and parameters are evolved by crossover, mutation, and selection. Thus, our proposed method can directly design the diversified dual-passband digital filter structure and can effectively balance exploration and exploitation to prevent individuals from premature convergence. In our experiment, the connection probability, the subsystem number of the filter structure, as well as the scale factor and the crossover rate of AMECoDEs are explored to determine the optimal configuration. Compared with exiting state-of-the-art evolutionary algorithms for the design of the symmetrical and asymmetrical dual-bandpass filters, our proposed method has the smallest average passband ripple and stopband attenuation with the fastest convergence.

随着无线通信技术的飞速发展，数字滤波器现已成为许多现代数字系统中的关键组件。双通带数字滤波器是数字滤波器的重要模块，受到了广泛的关注。本文提出了一种新颖的进化方法来设计多样化的结构数字滤波器。我们提出的使用自适应多精英制导复合差分进化算法并结合移位机制（AMECoDE）的方法不需要使用已知的电路结构。结构和参数通过交叉，突变和选择而进化。因此，我们提出的方法可以直接设计多样化的双通带数字滤波器结构，并可以有效地平衡探索和开发，以防止个人过早收敛。在我们的实验中 研究了连接概率，滤波器结构的子系统数量以及AMECoDE的比例因子和交叉速率，以确定最佳配置。与设计对称和非对称双带通滤波器的现有最新进化算法相比，我们提出的方法具有最小的平均通带纹波和阻带衰减，收敛最快。