Titlebook: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques; Manuel F. M. Barros,Jorge M. C. Guilherme,Nuno C.

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Book 2010time-- market, productivity and managing complexity. Pushed by the progress in na- meter technology, the design teams are facing a curve of complexity that grows exponentially, thereby slowing down the productivity design rate. Analog design automation tools are not developing at the same pace of te

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Evolutionary Analog IC Design Optimization,genetic algorithms applied to analog circuit optimization. It includes a detailed description of the coding schemes, the fitness function, the genetic operators and other design strategy criteria. Finally, a robust IC design methodology supported by the optimization kernel is presented in the end of the chapter.

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State-of-the-Art on Analog Design Automation,ends in design automation are discussed. Then, the existing approaches to circuit sizing are presented, outlining in each case their advantages and limitations. Next, a detailed discussion over the existing tools approaches is provided. Finally, conclusions concerning the specification and design of

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Analog IC Design Environment Architecture,hniques and state-of-the-art modeling techniques presented in the previous chapters. The main design options of the proposed approach will be here described and justified. First, an overview of the design architecture main building blocks will be provided. Then, the optimization algorithm kernel, as

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Dienstleistungen im Gesundheitssektor,es an enhanced GA kernel with an automatic learning machine based on SVM model (GA-SVM) which efficiently guides the selection operator of the GA algorithm avoiding time-consuming SPICE evaluations of non-promising solutions. The SVM model is here defined as a classification model used to predict th