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 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.
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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 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.
54.99 In Stock
Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms

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

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

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

Paperback(2014)

$54.99 
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Overview

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.

Product Details

ISBN-13: 9783319021881
Publisher: Springer International Publishing
Publication date: 09/24/2013
Series: SpringerBriefs in Applied Sciences and Technology
Edition description: 2014
Pages: 69
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

Table of Contents

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