Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms, 1st Edition

  • Published By:
  • ISBN-10: 3319021893
  • ISBN-13: 9783319021898
  • DDC: 621.3815
  • Grade Level Range: College Freshman - College Senior
  • 69 Pages | eBook
  • Original Copyright 2014 | Published/Released April 2014
  • This publication's content originally published in print form: 2014

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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.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
1: Introduction.
2: State-of-the-Art on Automatic Analog IC Sizing.
3: Gradient Model Generation.
4: Enhanced AIDA's Circuit-Level Optimization Kernel.
5: Results.
6: Conclusions and Future Work.