Non-sorting genetic algorithm in the optimization of unity-gain cells

An optimization system based on the multi-objective evolutionary technique NSGA-II is presented to automatically size unity-gain cells, namely: voltage and current followers, and voltage and current mirrors. These unity-gain cells are optimized in three performance objectives: gain, bandwidth and of...

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Bibliographische Detailangaben

Hauptverfasser:	Guerra-Gomez, I., Tlelo-Cuautle, E., Reyes-Garcia, C.A., Reyes-Salgado, G., de la Fraga, L.G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Carbon capture and storage Circuit simulation Circuit synthesis Cities and towns Computer science Genetic algorithms Mirrors Performance gain User-generated content Voltage
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