Title :
Automated design method for parameters optimization of CMOS analog circuits based on adaptive genetic algorithm
Author :
Yu, Jianhai ; Mao, Zhigang
Author_Institution :
Harbin Inst. of Technol., Harbin
Abstract :
A new method for optimizing the parameters of CMOS analog circuits based on adaptive EGA (elitist genetic algorithm) is proposed in this paper. In the method the Hspice simulation tool is called to evaluate the fitness of every circuit repeatedly in a generation. According to the results of the evaluation better circuits can be reserved. By adjusting the parameters of transistors through EGA the evolution can find the circuit which will satisfy our specifications. The outcome of the experiment for a two-stage operational amplifier shows that this is an accurate and promising way in determining the device sizes in an analog circuit.
Keywords :
CMOS analogue integrated circuits; genetic algorithms; integrated circuit design; CMOS analog circuits; Hspice simulation tool; adaptive genetic algorithm; automated design method; two-stage operational amplifier; Analog circuits; Biological cells; CMOS analog integrated circuits; CMOS technology; Circuit simulation; Circuit synthesis; Design methodology; Design optimization; Genetic algorithms; Operational amplifiers;
Conference_Titel :
ASIC, 2007. ASICON '07. 7th International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-1132-0
Electronic_ISBN :
978-1-4244-1132-0
DOI :
10.1109/ICASIC.2007.4415854
