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GA-SVM feasibility model and optimization kernel applied to analog IC design automation

Published: 11 March 2007 Publication History

Abstract

An efficient use of macromodeling techniques is pointed out as an effective approach to improve the convergence and speed of the optimization process. The methodology presented in this paper is based on a learning scheme using Support Vector Machines(SVMs) that together with and an evolutionary strategy is used to create efficient models to estimate and optimize the performance parameters of analog and mixed-signal ICs. The SVM is used to identify the feasible design space regions while at the same time the evolutionary techniques are looking for the global optimum. Finally, the proposed optimization based methodology is demonstrated for the design of a well known class of CMOSoperational amplifier topologies. The efficiency of the proposed approach is compared with standard and modified genetic algorithm kernels.

References

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  • (2023)BP Neural Network Modeling and Solving Acceleration of Analog ICsCircuits, Systems, and Signal Processing10.1007/s00034-023-02443-x42:12(7023-7044)Online publication date: 13-Jul-2023
  • (2019)Smart adaptive run parameterization (SArP): enhancement of user manual selection of running parameters in fluid dynamic simulations using bio-inspired and machine-learning techniquesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-03761-623:22(12031-12047)Online publication date: 1-Nov-2019
  • (2016)Previous Works on Automatic Analog IC SizingAutomatic Analog IC Sizing and Optimization Constrained with PVT Corners and Layout Effects10.1007/978-3-319-42037-0_2(13-37)Online publication date: 30-Jul-2016
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cover image ACM Conferences
GLSVLSI '07: Proceedings of the 17th ACM Great Lakes symposium on VLSI
March 2007
626 pages
ISBN:9781595936059
DOI:10.1145/1228784
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 March 2007

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Author Tags

  1. analog integrated circuit synthesis
  2. genetic algorithms
  3. support vector machines

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GLSVLSI07: Great Lakes Symposium on VLSI 2007
March 11 - 13, 2007
Stresa-Lago Maggiore, Italy

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Cited By

View all
  • (2023)BP Neural Network Modeling and Solving Acceleration of Analog ICsCircuits, Systems, and Signal Processing10.1007/s00034-023-02443-x42:12(7023-7044)Online publication date: 13-Jul-2023
  • (2019)Smart adaptive run parameterization (SArP): enhancement of user manual selection of running parameters in fluid dynamic simulations using bio-inspired and machine-learning techniquesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-03761-623:22(12031-12047)Online publication date: 1-Nov-2019
  • (2016)Previous Works on Automatic Analog IC SizingAutomatic Analog IC Sizing and Optimization Constrained with PVT Corners and Layout Effects10.1007/978-3-319-42037-0_2(13-37)Online publication date: 30-Jul-2016
  • (2015)Previous Works on Automated Analog IC SizingAIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing10.1007/978-3-319-15955-3_2(7-16)Online publication date: 21-Feb-2015
  • (2014)Routing analog ICs using a multi-objective multi-constraint evolutionary approachAnalog Integrated Circuits and Signal Processing10.1007/s10470-013-0088-978:1(123-135)Online publication date: 1-Jan-2014
  • (2013)LAYGEN II—Automatic Layout Generation of Analog Integrated CircuitsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2013.226905032:11(1641-1654)Online publication date: 1-Nov-2013
  • (2013)Analog Circuit Design Based on Robust POFs Using an Enhanced MOEA with SVM ModelsAnalog/RF and Mixed-Signal Circuit Systematic Design10.1007/978-3-642-36329-0_7(149-167)Online publication date: 2013
  • (2013)IntroductionElectronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms10.1007/978-3-319-02189-8_1(1-6)Online publication date: 25-Sep-2013
  • (2012)LAYGEN IIProceedings of the 14th annual conference on Genetic and evolutionary computation10.1145/2330163.2330319(1127-1134)Online publication date: 7-Jul-2012
  • (2012)GENOM-POFProceedings of the 14th annual conference on Genetic and evolutionary computation10.1145/2330163.2330318(1119-1126)Online publication date: 7-Jul-2012
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