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Mathematical Problems in Engineering
Volume 2014, Article ID 593684, 12 pages
Research Article

Analog Circuit Design Optimization Based on Evolutionary Algorithms

1Electrical Engineering Department, Islamic Azad University, South Tehran Branch, Tehran 11365/4435, Iran
2Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway

Received 3 January 2014; Accepted 28 February 2014; Published 7 April 2014

Academic Editor: Yang Tang

Copyright © 2014 Mansour Barari et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper investigates an evolutionary-based designing system for automated sizing of analog integrated circuits (ICs). Two evolutionary algorithms, genetic algorithm and PSO (Parswal particle swarm optimization) algorithm, are proposed to design analog ICs with practical user-defined specifications. On the basis of the combination of HSPICE and MATLAB, the system links circuit performances, evaluated through specific electrical simulation, to the optimization system in the MATLAB environment, for the selected topology. The system has been tested by typical and hard-to-design cases, such as complex analog blocks with stringent design requirements. The results show that the design specifications are closely met. Comparisons with available methods like genetic algorithms show that the proposed algorithm offers important advantages in terms of optimization quality and robustness. Moreover, the algorithm is shown to be efficient.