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GADISI - Genetic Algorithms Applied to the Automatic Design of Integrated Spiral Inductors
Abstract : This work introduces a tool for the optimization of
CMOS integrated spiral inductors. The main objective of this tool is to
offer designers a first approach for the determination of the inductor
layout parameters. The core of the tool is a Genetic Algorithm (GA)
optimization procedure where technology constraints on the inductor
layout parameters are considered. Further constraints regarding inductor
design heuristics are also accounted for. Since the layout parameters
are inherently discrete due to technology and topology constraints,
discrete variable optimization techniques are used. The Matlab GA
toolbox is used and the modifications on the GA functions, yielding
technology feasible solutions is presented. For the sake of efficiency
and simplicity the pi-model is used for characterizing the inductor. The
validity of the design results obtained with the tool, is checked
against circuit simulation with ASITIC.
Cited literature [14 references]
https://hal.inria.fr/hal-01060777
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, November 17, 2017 - 3:33:08 PM
Last modification on : Wednesday, November 10, 2021 - 5:18:05 PM
Long-term archiving on: : Sunday, February 18, 2018 - 3:43:47 PM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, November 17, 2017 - 3:33:08 PM
Last modification on : Wednesday, November 10, 2021 - 5:18:05 PM
Long-term archiving on: : Sunday, February 18, 2018 - 3:43:47 PM
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PereiraFCV10.pdf
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Distributed under a Creative Commons Attribution 4.0 International License