Optimization of Fully-Differential Folded Cascode Amplifier via Multi- Objective Genetic Algorithms

Abstract

The miniaturization of advent Microsystems largely complicated the task of the designers. So design an interface to an application specific sensor induces costs and design time high mainly related to the analog part. To reduce these costs should have been standardized design analog like digital electronics and everyone knows the delay in the analog domain. The methodology presented in what follows aims to reduce the gap and allows automated synthesis of analog and mixed systems. It is a methodology based on the "top down." In our approach the top-down method is paired with the optimization process for the automatic calculation of parameters of the various blocks constituting the system, and the size of these blocks. The optimization approach is based on multi objective genetic algorithms. This proposed methodology is used to find the optimal dimensional transistor parameters in order to obtain operational amplifier performances for analog and mixed CMOS-based circuit applications.