利用自适应遗传算法实现模拟电路自动设计

简述模拟电路进化设计的研究现状，提出一种新的自适应遗传算法．利用基于典型电路结构和元件取值标准化的高效编解码方案，以及权值动态调整的多目标适应度评估方法，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，可根据设计目标自动优化元件的类型和取值．这种新方法能显著减小运算量，提高设计结果的实用性．

Evolutionary design of analon circuits using anovel adaptive genetic algorithm

First we introduce the current research status of evolutionary design for analog circuits briefly, and then we propose a multi-objective adaptive Genetic Algorithm and discuss it in detail. It features an encoding-decoding scheme based on typical structures of circuits and standard values of components(i.e. discrete values in common use), a multi-objective fitness evaluation method using Pspice simulation and dynamic adjusting of weight vectors, and a genetic parameter adaptiation technique for considering the different effect of each locus on fitness and tracking the course of evolution. Some experiments on active filters show that with our approach a suitable type and an optimal value of each component in the circuit can be found automatically, so an effective circuit with a response very close to the design target can be developed, and only modest computational resource is required that a PC can afford.