Automated Design Approach for Analog Circuits Based on a Multi-Stage Adaptive Genetic Algorithm
Yang Wan-hai · Dianzi xuebao · 2004
To implement evolutionary design of analog circuits with larger scale and higher speed, we proposed a multi-stage adaptive Genetic Algorithm.lt features an encoding-decoding scheme supporting creation of circuit sbuctures 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,whilst only a modest computational resource that a PC can provides is required.