基于自适应遗传算法的模拟电路自动设计方法

Automated Design Approach for Analog Circuits Based on a Multi-Stage Adaptive Genetic Algorithm

针对电路进化设计的速度和规模瓶颈,提出并讨论一种新的自适应遗传算法,其特点包括:支持结构自动生成和元件参数标准化的编解码方案,兼顾功能设计和结构化简要求的多目标适应度评估,考虑基因位影响力并跟踪进化进程的遗传参数调整策略等.实验证明,该方法可自动生成电路结构、优化元件参数和化简电路,并显著地减小运算量和提高优化程度.

To implement evolutionary design of analog circuits with larger scale and higher speed, we proposed a multi-stage adaptive Genetic Algorithm. It features an encoding-decoding scheme supporting creation of circuit structures and standard values (i.e. discrete values in common use) of components, a multi-objective fitness evaluation method based on PSpice simulation and penalty for the circuit size, and a genetic parameter adaptation technique considering the different effect of each locus on fitness and tracking the course of evolution. It is suggested by the experiment results of a series of active filter that the approach discussed can firstly search feasible circuit structures, then find an optimal combination of component values, and finally provide a simplified circuit with a response very close to the design target, while only a modest computational resource that a PC can provides is required.