An effective parameter extraction method based on memetic differential evolution algorithm

Liu, B. , Lu, J., Wang, Y. and Tang, Y. (2008) An effective parameter extraction method based on memetic differential evolution algorithm. Microelectronics Journal, 39(12), pp. 1761-1769. (doi: 10.1016/j.mejo.2008.02.021)

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This paper provides an effective method for parameter extraction of microelectronic devices and elements. A novel method, memetic differential evolution (MDE) algorithm, is proposed in this paper. By combining differential evolution (DE) algorithm, mutations in immune algorithm (IA), and special operators for parameter extraction, MDE possesses characteristics of high accuracy, stability, generality, and efficiency. The effectiveness of the method has been shown by two typical examples, including small-signal equivalent circuit models for an AlGaN/GaN HEMT device up to 40 GHz, as well as an equivalent circuit model for on-chip differential spiral inductors. In both cases, the initial values and parameter ranges of the elements in the equivalent circuits are hard to determine in optimization. The results and comparisons with Levenberg–Marquardt (LM) algorithm, genetic algorithm (GA), particle swarm optimization (PSO) algorithm and canonical DE algorithm, demonstrate the superiority of MDE in terms of accuracy and generality.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Liu, Dr Bo
Authors: Liu, B., Lu, J., Wang, Y., and Tang, Y.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Microelectronics Journal
ISSN (Online):1879-2391
Published Online:18 April 2008

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