Model-Revised Geometric Programming Method for Analog Integrated Circuits Optimization

This paper proposes a geometric programming method combined with model revision technique for optimizing the design parameters of analog integrated circuits.Applying this method,the design objective and constraints are formulated as posynomial model of the design parameters firstly.Then,geometric programming is iteratively utilized to optimize the device size,during which transistor-level SPICE simulations are employed to continually revise the posynomial model.An example of a widely used operational amplifier circuit is applied to demonstrate that the proposed method could achieve the SPICE-level accuracy without sacrificing too much efficiency when compared to the existing equation-based methods and simulation-based approaches.