SpringerBriefs in Computational Intelligence

Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms

Authors: Rocha, F.A.E., Martins, R.M.F., Lourenço, N.C.C., Horta, N.C.G.

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  • ISBN 978-3-319-02189-8
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About this book

This book applies to the scientific area of electronic design automation (EDA) and addresses the automatic sizing of analog integrated circuits (ICs). Particularly, this book presents an approach to enhance a state-of-the-art layout-aware circuit-level optimizer (GENOM-POF), by embedding statistical knowledge from an automatically generated gradient model into the multi-objective multi-constraint optimization kernel based on the NSGA-II algorithm. The results showed allow the designer to explore the different trade-offs of the solution space, both through the achieved device sizes, or the respective layout solutions.

Table of contents (6 chapters)

  • Introduction

    Rocha, Frederico A. E. (et al.)

    Pages 1-6

  • State-of-the-Art on Automatic Analog IC Sizing

    Rocha, Frederico A. E. (et al.)

    Pages 7-22

  • Gradient Model Generation

    Rocha, Frederico A. E. (et al.)

    Pages 23-33

  • Enhanced AIDA’s Circuit-Level Optimization Kernel

    Rocha, Frederico A. E. (et al.)

    Pages 35-50

  • Results

    Rocha, Frederico A. E. (et al.)

    Pages 51-66

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-02189-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-02188-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms
Authors
Series Title
SpringerBriefs in Computational Intelligence
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-02189-8
DOI
10.1007/978-3-319-02189-8
Softcover ISBN
978-3-319-02188-1
Series ISSN
2520-8551
Edition Number
1
Number of Pages
XI, 69
Number of Illustrations and Tables
39 b/w illustrations
Topics