ZHAO Shu-guang, LIU Gui-xi, WANG Jun-ning, et al. Automated Design Approach for Analog Circuits Based on a Multi-Stage Adaptive Genetic Algorithm[J]. Acta Electronica Sinica, 2004, 32(4): 680-683.
DOI:
ZHAO Shu-guang, LIU Gui-xi, WANG Jun-ning, et al. Automated Design Approach for Analog Circuits Based on a Multi-Stage Adaptive Genetic Algorithm[J]. Acta Electronica Sinica, 2004, 32(4): 680-683.DOI:
Automated Design Approach for Analog Circuits Based on a Multi-Stage Adaptive Genetic Algorithm
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
whilst only a modest computational resource that a PC can provides is required.