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

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Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2013-09-24

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Description
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.
Pages
69 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2013-09-24
Marque
Springer
EAN papier
9783319021881
EAN EPUB
9783319021898
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
1362 Ko
Prix
52,74 €

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