A simulation-based hybrid optimization technique for low noise amplifier design automation

Yi-Ming Li*, Shao Ming Yu, Yih Lang Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


In this paper, a simulation-based optimization technique for integrated circuit (IC) design automation is presented. Based on a genetic algorithm (GA), Levenberg-Marquardt (LM) method, and circuit simulator, a window-interfaced prototype of computer-aided design (CAD) is developed for IC design. Considering low noise amplifier (LNA) IC, we simultaneously evaluate specifications including S parameters, K factor, noise figure, and input third-order intercept point in the optimization process. If the simulated results meet the aforementioned constraints, the prototype outputs the optimized parameters. Otherwise, CAD activates GA for global optimization; simultaneously, LM method searches solutions with the results of GA. The prototype then calls a circuit simulator to compute and evaluate newer results until all specifications are matched. More than fifteen parameters including device sizes, passive components, and biasing conditions are optimized for the aforementioned constraints. For LNA IC with 0.18pm metal-oxide-silicon filed effect transistors, benchmark results confirm the functionality of the implemented prototype.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Number of pages8
EditionPART 4
ISBN (Print)9783540725893
StatePublished - 2007
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 27 May 200730 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume4490 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Conference on Computational Science, ICCS 2007


  • Circuit design
  • Computational performance
  • DaCO
  • LNA
  • Optimization
  • Parameter tuning


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