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Computational intelligence techniques are becoming more and more important for automated problem solving nowadays. Due to the growing complexity of industrial applications and the increasingly tight time-to-market requirements, the time available for thorough problem analysis and development of tailored solution methods is decreasing. There is no doubt that this trend will continue in the foreseeable future. Hence, it is not surprising that robust and general automated problem solving methods with satisfactory performance are needed.

Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Engineering & Applied Sciences --- Computer Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Construction --- Electronic circuit design --- Integrated circuits --- Computational intelligence. --- Data processing. --- Computer-aided design. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Artificial Intelligence. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Industrial arts --- Technology --- Computational intelligence --- Electronic circuits --- Automation --- Design

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This book describes a new design methodology that allows optimization-based synthesis of RF systems in a hierarchical multilevel approach, in which the system is designed in a bottom-up fashion, from the device level up to the (sub)system level. At each level of the design hierarchy, the authors discuss methods that increase the design robustness and increase the accuracy and efficiency of the simulations. The methodology described enables circuit sizing and layout in a complete and automated integrated manner, achieving optimized designs in significantly less time than with traditional approaches. Describes an efficient and accurate methodology to design automatically RF systems, with guaranteed accuracy from the device to the system level; Discusses analytical and machine learning techniques for modelling integrated inductors and uses such models in synthesis approaches; Compares synthesis strategies for RF circuits based on bottom-up versus flat approaches; Discusses layout-aware bottom-up design methodologies for RF circuits; Discusses variability-aware bottom-up design methodologies for RF circuits; Describes multilevel bottom-up design methodologies from the device up to the system level.

Electronic circuits. --- Electronics. --- Microelectronics. --- Microprocessors. --- Circuits and Systems. --- Electronics and Microelectronics, Instrumentation. --- Processor Architectures. --- Minicomputers --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electrical engineering --- Physical sciences --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Radio frequency integrated circuits --- Design and construction. --- RFICs (Integrated circuits) --- Integrated circuits --- Radio circuits