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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.
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Pedro Pereira, M. Helena Fino, Fernando Coito, Mário Ventim-Neves. GADISI - Genetic Algorithms Applied to the Automatic Design of Integrated Spiral Inductors. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.513-520, ⟨10.1007/978-3-642-11628-5_57⟩. ⟨hal-01060777⟩



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