Particle swarm optimization for electronic circuit design automation

Together with the increase in electronic circuit complexity, the design and optimization processes have to be automated with high accuracy. Predicting and improving the design quality in terms of performance, robustness and cost is the central concern of electronic design automation. Generally, optimization is a very difficult and time consuming task including many conflicting criteria and a wide range of design parameters. The evolutionary algorithms were introduced as an efficient method for exploring the search space and handling multi objective optimization problems. In this book, the applicability of evolutionary algorithms, particularly particle swarm optimization (PSO)method has been investigated comprehensively for electronic circuit design automation. Simulation results indicate that as a global optimization tool, PSO is a very efficient method for optimal component selection and sizing task in electronic circuit design automation by means of both high accuracy and short computation time. Since once programmed, no human intervention is required the proposed method yields complete automated sizing of optimal circuits by means of both discrete and integrated design concepts.

Autorentext

Revna ACAR VURAL received the M.Sc. and Ph.D. degrees in electronics engineering from Yildiz Technical University, Istanbul, Turkey in 2004 and 2011, respectively. Currently, she is working as research assistant in Dept. of Electronics and Communication Engineering in Yildiz Technical University. Dr. ACAR VURAL is also a member of IEEE and IACSIT.