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

• Κύριοι συγγραφείς: Rocha, Frederico A.E (Συγγραφέας), Martins, Ricardo M.F (Συγγραφέας), Lourenço, Nuno C.C (Συγγραφέας), Horta, Nuno C.G (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Engineering.; Algorithms.; Computational intelligence.; Electronic circuits.; Circuits and Systems.; Computational Intelligence.; Algorithm Analysis and Problem Complexity.
• Φυσική περιγραφή: XI, 69 p. 39 illus. online resource.
• ISBN: 9783319021898
• ISSN: 2191-530X

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.