Analog circuit optimization system based on hybrid evolutionary algorithms

Liu, B. , Wang, Y., Yu, Z., Liu, L., Li, M., Wang, Z., Lu, J. and Fernández, F. V. (2009) Analog circuit optimization system based on hybrid evolutionary algorithms. Integration, 42(2), pp. 137-148. (doi: 10.1016/j.vlsi.2008.04.003)

Full text not currently available from Enlighten.


This paper investigates a hybrid evolutionary-based design system for automated sizing of analog integrated circuits (ICs). A new algorithm, called competitive co-evolutionary differential evolution (CODE), is 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 electrical simulation, to the optimization system in the MATLAB environment, once a circuit topology is selected. 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, even in highly-constrained situations. Comparisons with available methods like genetic algorithms and differential evolution, which use static penalty functions to handle design constraints, have also been carried out, showing that the proposed algorithm offers important advantages in terms of optimization quality and robustness. Moreover, the algorithm is shown to be efficient.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Liu, Dr Bo
Authors: Liu, B., Wang, Y., Yu, Z., Liu, L., Li, M., Wang, Z., Lu, J., and Fernández, F. V.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Integration
ISSN (Online):1872-7522
Published Online:20 April 2008

University Staff: Request a correction | Enlighten Editors: Update this record