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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
Resumen
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.
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