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...

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Detalles Bibliográficos
Autor principal: Rocha, Frederico A.E
Otros Autores: Martins, Ricardo M.F, Lourenco, Nuno C.C, Horta, Nuno C.G
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Colección:SpringerBriefs in Applied Sciences and Technology,
Materias:
Engineering.
Algorithms.
Computational intelligence.
Electronic circuits.
Circuits and Systems.
Algorithm Analysis and Problem Complexity.
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-02189-8
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
Descripción
Sumario: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.
Descripción Física:xi, 69 p. : il.
ISBN:9783319021898
ISSN:2191-530X

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