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Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (Paperback, 2014 ed.) Loot Price: R1,658
Discovery Miles 16 580
Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (Paperback,...

Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (Paperback, 2014 ed.)

Frederico A. E. Rocha, Ricardo M. F. Martins, Nuno C.C. Lourenco, Nuno C G Horta

Series: SpringerBriefs in Applied Sciences and Technology

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Loot Price R1,658 Discovery Miles 16 580 | Repayment Terms: R155 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Applied Sciences and Technology
Release date: September 2013
First published: 2014
Authors: Frederico A. E. Rocha • Ricardo M. F. Martins • Nuno C.C. Lourenco • Nuno C G Horta
Dimensions: 235 x 155 x 4mm (L x W x T)
Format: Paperback
Pages: 69
Edition: 2014 ed.
ISBN-13: 978-3-319-02188-1
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-02188-5
Barcode: 9783319021881

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