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Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (SpringerBriefs in Applied Sciences and Technology) - Softcover
Synopsis
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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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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Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (eng)
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Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (SpringerBriefs in Applied Sciences and Technology)
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Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms
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Springer International Publishing Okt 2013, 2013
ISBN 10: 3319021885
ISBN 13: 9783319021881
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch. Seller Inventory # 9783319021881
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