Abstract
The automatic synthesis of integrated inductors for radio frequency (RF) integrated circuits is one of the most challenging problems that RF designers have to face. In this chapter, computational intelligence techniques are applied to automatically obtain the optimal performance trade-offs of integrated inductors. A methodology is presented that combines a multi-objective evolutionary algorithm with electromagnetic simulation to get highly accurate results. A set of sized inductors is obtained showing the best performance trade-offs for a given technology. The methodology is illustrated with a complete set of examples where different inductor trade-offs are obtained.
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Acknowledgments
This work has been partially supported by the TEC2013-45638-C3-3-R, TEC2010-14825, TEC2013-40430-R, and TEC2010-21484 projects, funded by the Spanish Ministry of Economy and Competitiveness and ERDF, by the P12-TIC-1481 project, funded by Junta de Andalucia, and by CSIC project PIE 201350E058.
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Roca, E. et al. (2015). Computational Intelligence Techniques for Determining Optimal Performance Trade‐Offs for RF Inductors. In: Fakhfakh, M., Tlelo-Cuautle, E., Siarry, P. (eds) Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design. Springer, Cham. https://doi.org/10.1007/978-3-319-19872-9_10
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DOI: https://doi.org/10.1007/978-3-319-19872-9_10
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