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

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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 to explore the different trade-offs of the solution space, both through the achieved device sizes, or the respective layout solutions.

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Inventory Code Barcode Call Number Location Status
1408000298EB0000552621.3815 Roc eCentral LibraryAvailable
Detail Information
Series Title
SpringerBriefs in Applied Sciences and Technology
Call Number
621.3815 Roc e
Publisher
Switzerland : Springer Cham.,
Collation
xi, 69p.: Ill.
Language
English
ISBN/ISSN
978-3-319-02189-8
Classification
621.3815
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Engineering
Specific Detail Info
-
Statement of Responsibility
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No other version available

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