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A design method in CMOS analog circuit optimization based on an adaptive genetic algorithm

  • Jianhai Yu*
  • , Zhigang Mao
  • , Weiping Chen
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A new method for optimizing the parameters of a CMOS operational amplifier based on an adaptive GA (genetic algorithm) was presented in order to solve the difficulty caused by parameter optimization in analog circuit design. The main advantage of the method is that the problems of convergence and multiple objective optimization tasks can be solved through combining the useful features of manual analog circuit design, and adjusting the GA with the evolution process. Operational amplifiers for different uses can also be developed depending on various performance specifications. The simulation results show that this method can accurately achieve high DC-gain, high bandwidth, low noise, and low power operational amplification, and it efficiently compares with other optimizing methods having the same circuit structure. The method is suitable for CMOS analog circuit optimization. Because it is based on the simulation results of Hspice, it is much more similar to actual circuit design and therefore more useful.

Original languageEnglish
Pages (from-to)103-108
Number of pages6
JournalHarbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
Volume32
Issue number1
DOIs
StatePublished - Jan 2011

Keywords

  • CMOS analog circuit
  • Fitness function
  • Genetic algorithm
  • Operational amplifier
  • Optimization

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