Evolutionary algorithm based electronic circuit design automation

Together with the increase in electronic circuit complexity, the design and optimization processes have to be automated with high accuracy. Generally, optimization is a very difficult and time consuming task including many conflicting criteria and a wide range of design parameters. Therefore, fast and accurate evolutionary methods are being utilized for accommodating required functionalities and performance specifications in electronic circuit design automation area. Harmony Search and Differential Evolution algorithms are utilized for fast and optimal design of analog discrete and integrated circuit design having a fixed topology for a particular process technology. Simulation results indicate that these algorithms are very efficient methods for optimal component selection and sizing task in electronic circuit design automation. Since once programmed, no human intervention is required, the proposed method yields completely automated sizing of optimal circuits by means of both discrete and integrated design concepts.