Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
Authors: Barros, Manuel, Guilherme, Jorge, Horta, Nuno
Free Preview- Innovative approach to analog IC design optimization
- Efficient methodology to solve multi-objective, multi-constraint problems
- Competitive results that are state-of-the-art in analog IC design automation
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- About this book
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The microelectronics market trends present an ever-increasing level of complexity with special emphasis on the production of complex mixed-signal systems-on-chip. Strict economic and design pressures have driven the development of new methods to automate the analog design process. However, and despite some significant research efforts, the essential act of design at the transistor level is still performed by the trial and error interaction between the designer and the simulator.
This book presents a new design automation methodology based on a modified genetic algorithm kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach combines a robust optimization with corner analysis, machine learning techniques and distributed processing capability able to deal with multi-objective and constrained optimization problems. The resulting optimization tool and the improvement in design productivity is demonstrated for the design of CMOS operational amplifiers.
- Table of contents (7 chapters)
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Introduction
Pages 1-18
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State-of-the-Art on Analog Design Automation
Pages 19-47
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Evolutionary Analog IC Design Optimization
Pages 49-88
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Enhanced Techniques for Analog Circuits Design Using SVM Models
Pages 89-107
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Analog IC Design Environment Architecture
Pages 109-137
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Table of contents (7 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
- Authors
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- Manuel Barros
- Jorge Guilherme
- Nuno Horta
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 294
- Copyright
- 2010
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-12346-7
- DOI
- 10.1007/978-3-642-12346-7
- Hardcover ISBN
- 978-3-642-12345-0
- Softcover ISBN
- 978-3-642-26323-1
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- 240
- Number of Illustrations
- 141 b/w illustrations
- Topics
