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

2014
ISBN: 978-3-319-02188-1
Verlag: Springer International Publishing

Buch, Englisch, 69 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1416 g

Reihe: SpringerBriefs in Applied Sciences and Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Rocha, Frederico A. E.

Horta, Nuno C. G.

Martins, Ricardo M.F.

Lourenço, Nuno C. C.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Schaltungsentwurf

Inhaltsverzeichnis

Introduction.- Related Work.- Gradient Model Generation.- Enhanced Circuit-Level Optimization Kernel.- Case Studies.- Conclusions and Outlook.