Operational amplifier circuit sizing based on NSGA-II and particle swarm optimization

This paper presents the simulation based design of analog integrated circuit design using an evolutionary algorithm. We design a basic two stage opamp using multi objective optimization based techniques, namely particle swarm optimization and non-dominated sorting genetic algorithm. These two algorithms are new kind of multi objective optimization method used to design analog IC transistor sizes and biasing currents. The necessities of these algorithms are to reduce the circuit design time and improve the accuracy of performance parameters. In this work, we automatically synthesize transistor sizes with constraint function using PSO and NSGA-II.