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

  • Book
  • © 2014

Overview

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (6 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal

    Frederico A.E. Rocha, Nuno C.C. Lourenço

  • Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal

    Ricardo M.F. Martins

  • IST/IT - Integrated Circuits Group, Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal

    Nuno C.G. Horta

Bibliographic Information

  • Book Title: Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms

  • Authors: Frederico A.E. Rocha, Ricardo M.F. Martins, Nuno C.C. Lourenço, Nuno C.G. Horta

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • DOI: https://doi.org/10.1007/978-3-319-02189-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2014

  • Softcover ISBN: 978-3-319-02188-1Published: 15 October 2013

  • eBook ISBN: 978-3-319-02189-8Published: 24 September 2013

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: XI, 69

  • Number of Illustrations: 39 b/w illustrations

  • Topics: Circuits and Systems, Computational Intelligence, Algorithm Analysis and Problem Complexity

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