Analog circuit design optimization based on evolutionary algorithms
Journal article, Peer reviewed
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Original versionBarari, M., Karimi, H. R., & Razaghian, F. (2014). Analog circuit design optimization based on evolutionary algorithms. Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/593684 10.1155/2014/593684
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. © 2014 Mansour Barari et al.
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/593684