Comparison between PSO and ACO techniques for analog circuit performance optimization

This paper presents a comparison between swarm intelligence (SI) techniques; namely Particle Swarm Optimization and Ant Colony Optimization, to solve analog circuit sizing problems. Performances in terms of optimum quality and computing time of both algorithms are checked via two applications that consist of optimizing performances of a CMOS second generation current conveyor (CCII), and an operational amplifier (Op-Amp).