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

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...

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Main Authors: Rocha, Frederico A.E. (Author, http://id.loc.gov/vocabulary/relators/aut), Martins, Ricardo M.F. (http://id.loc.gov/vocabulary/relators/aut), Lourenço, Nuno C.C. (http://id.loc.gov/vocabulary/relators/aut), Horta, Nuno C.G. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:SpringerBriefs in Computational Intelligence,
Subjects:
Electronic circuits.
Computational intelligence.
Algorithms.
Circuits and Systems.
Computational Intelligence.
Algorithm Analysis and Problem Complexity.
Online Access:https://doi.org/10.1007/978-3-319-02189-8
Summary: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.
Physical Description:XI, 69 p. 39 illus. online resource.
ISBN:9783319021898
ISSN:2625-3704

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