Título

Applications of evolutionary algorithms in the design automation of analog integrated circuits

Autor

ESTEBAN TLELO CUAUTLE

IVICK GUERRA GOMEZ

MIGUEL AURELIO DUARTE VILLASEÑOR

LUIS GERARDO DE LA FRAGA

GEORGINA FLORES BECERRA

GERARDO REYES SALGADO

CARLOS ALBERTO REYES GARCIA

GUSTAVO RODRIGUEZ GOMEZ

Nivel de Acceso

Acceso Abierto

Resumen o descripción

During the last decade, evolutionary algorithms (EAs) have shown its usefulness for solving multi-objective optimization problems. In the field of analog Integrated Circuits (ICs), they provide a set of feasible solutions for the optimal synthesis and sizing of different kinds of linear and nonlinear circuits, namely: amplifiers, filters and oscillators. The optimization of these circuits can enhance the performance for signal processing applications in electronics. In this study we present the state of the art in applying EAs for the synthesis and sizing of analog ICs. A survey of the main people working in this field and recent major advances and discoveries are summarized. Some insights on the behavior of EAs in the optimal design automation of analog ICs are given. Finally, several open research problems are listed mainly devoted to improve the electronic design automation tools for analog ICs by applying EAs.

Editor

Asian Network for Scientific Information

Fecha de publicación

2010

Tipo de publicación

Artículo

Versión de la publicación

Versión aceptada

Formato

application/pdf

Idioma

Inglés

Audiencia

Estudiantes

Investigadores

Público en general

Sugerencia de citación

Tlelo-Cuautle, E., et al., (2010). Applications of evolutionary algorithms in the design automation of analog integrated circuits, Journal of Applied Sciences, Vol. 10, (17): 1859-1872

Repositorio Orígen

Repositorio Institucional del INAOE

Descargas

372

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