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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, "Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms"
2014 | ISBN-10: 3319021885 | 100 pages | EPUB, PDF | 1 + 4 MB


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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