Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms [electronic resource] /
Rocha, Frederico A.E.author.
Martins, Ricardo M.F.author.
Lourenço, Nuno C.C.author.
Horta, Nuno C.G.author.
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.
Description based upon print version of record.
Includes bibliographical references.
Introduction -- Related Work -- Gradient Model Generation -- Enhanced Circuit-Level Optimization Kernel -- Case Studies -- Conclusions and Outlook.
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.
Electronic circuits.
Computational intelligence.
Algorithms.
Circuits and Systems.
Computational Intelligence.
Algorithm Analysis and Problem Complexity.

SpringerBriefs in Applied Sciences and Technology