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

Detalles Bibliográficos
Autor Principal: Rocha, Frederico A.E
Otros autores o Colaboradores: Martins, Ricardo M.F, Lourenco, Nuno C.C, Horta, Nuno C.G
Formato: Libro
Lengua:inglés
Datos de publicación: Cham : Springer International Publishing : Imprint: Springer, 2014.
Series:SpringerBriefs in Applied Sciences and Technology,
Temas:
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-02189-8
Resumen: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
DOI:10.1007/978-3-319-02189-8

MARC

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505 0 |a Introduction -- Related Work -- Gradient Model Generation -- Enhanced Circuit-Level Optimization Kernel -- Case Studies -- Conclusions and Outlook. 
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