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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques: 294 (Studies in Computational Intelligence, 294) - Softcover
Synopsis
Analog Circuits and Systems Optimization Based on Evolutionary Computation Techniques Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
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From the Back Cover
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.
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- PublisherSpringer
- Publication date2012
- ISBN 10 3642263232
- ISBN 13 9783642263231
- BindingPaperback
- LanguageEnglish
- Number of pages240
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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques: Volume 294 (Studies in Computational Intelligence) (Volume 294)
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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques (Studies in Computational Intelligence, 294)
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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
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Springer Berlin Heidelberg Mai 2012, 2012
ISBN 10: 3642263232
ISBN 13: 9783642263231
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The microelectronics market, with special emphasis to the production of complex mixed-signal systems-on-chip (SoC), is driven by three main dynamics, time-- market, productivity and managing complexity. Pushed by the progress in na- meter technology, the design teams are facing a curve of complexity that grows exponentially, thereby slowing down the productivity design rate. Analog design automation tools are not developing at the same pace of technology, once custom design, characterized by decisions taken at each step of the analog design flow, - lies most of the time on designer knowledge and expertise. Actually, the use of - sign management platforms, like the Cadences Virtuoso platform, with a set of - tegrated CAD tools and database facilities to deal with the design transformations from the system level to the physical implementation, can significantly speed-up the design process and enhance the productivity of analog/mixed-signal integrated circuit (IC) design teams. These design management platforms are a valuable help in analog IC design but they are still far behind the development stage of design automation tools already available for digital design. Therefore, the development of new CAD tools and design methodologies for analog and mixed-signal ICs is ess- tial to increase the designer's productivity and reduce design productivitygap. The work presented in this book describes a new design automation approach to the problem of sizing analog ICs. 256 pp. Englisch. Seller Inventory # 9783642263231
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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642263232
ISBN 13: 9783642263231
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The microelectronics market, with special emphasis to the production of complex mixed-signal systems-on-chip (SoC), is driven by three main dynamics, time-- market, productivity and managing complexity. Pushed by the progress in na- meter technology, the design teams are facing a curve of complexity that grows exponentially, thereby slowing down the productivity design rate. Analog design automation tools are not developing at the same pace of technology, once custom design, characterized by decisions taken at each step of the analog design flow, - lies most of the time on designer knowledge and expertise. Actually, the use of - sign management platforms, like the Cadences Virtuoso platform, with a set of - tegrated CAD tools and database facilities to deal with the design transformations from the system level to the physical implementation, can significantly speed-up the design process and enhance the productivity of analog/mixed-signal integrated circuit (IC) design teams. These design management platforms are a valuable help in analog IC design but they are still far behind the development stage of design automation tools already available for digital design. Therefore, the development of new CAD tools and design methodologies for analog and mixed-signal ICs is ess- tial to increase the designer's productivity and reduce design productivitygap. The work presented in this book describes a new design automation approach to the problem of sizing analog ICs. Seller Inventory # 9783642263231
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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
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ISBN 10: 3642263232
ISBN 13: 9783642263231
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Innovative approach to a analog IC design optimizationEfficient methodology to solve multi-objective multi-constraint problemCompetitive results to the state-of-the-art in Analog IC Design AutomationThe microelectronics market, with special emphasis to . Seller Inventory # 5054388
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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
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