Electronic Design Automation of Analog ICs Combining Gradient Models with Multi-Objective Evolutionary Algorithms |
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| Author:
| Rocha, Frederico
Martins, Ricardo M. F.
Lourenço, Nuno C. C.
Horta, Nuno C. G. |
| Series title: | SpringerBriefs in Applied Sciences and Technology Ser. |
| ISBN: | 978-3-319-02188-1 |
| Publication Date: | Oct 2013 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Springer |
| Book Format: | Paperback |
| List Price: | USD $54.99 |
Book Description:
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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...
More DescriptionThis 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.