GADISI - Genetic Algorithms Applied to the Automatic Design of Integrated Spiral Inductors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
EditorsL Camarinha-Matos, P Pereira, L Ribeiro
PublisherSpringer Boston
Pages515-522
Volume314/20
ISBN (Print)978-3-642-11627-8
DOIs
Publication statusPublished - 1 Jan 2010
EventDoctoral Conference on Computing, Electrical and Industrial Systems - DoCEIS'10 -
Duration: 1 Jan 2010 → …

Conference

ConferenceDoctoral Conference on Computing, Electrical and Industrial Systems - DoCEIS'10
Period1/01/10 → …

Cite this