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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  • ISBN 978-3-319-02188-1
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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)

Table of contents (6 chapters)

Buy this book

eBook 50,28 €
price for Spain (gross)
  • ISBN 978-3-319-02189-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 63,17 €
price for Spain (gross)
  • ISBN 978-3-319-02188-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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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
2625-3704
Edition Number
1
Number of Pages
XI, 69
Number of Illustrations
39 b/w illustrations
Topics