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Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms
Frederico A.E. Rocha
Ricardo M.F. Martins
Nuno C.C. Lourenço
Nuno C.G. Horta
出版
Springer Science & Business Media
, 2013-09-24
主題
Technology & Engineering / Electronics / Circuits / General
Computers / Artificial Intelligence / General
Technology & Engineering / Engineering (General)
Computers / Programming / Algorithms
Technology & Engineering / Electrical
ISBN
3319021893
9783319021898
URL
http://books.google.com.hk/books?id=z-a5BAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.