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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Evolutionary Analog IC Design Optimization
verfasst von : Manuel F. M. Barros, Jorge M. C. Guilherme, Nuno C. G. Horta
Erschienen in: Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
Verlag: Springer Berlin Heidelberg
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This chapter starts with an overview on computation techniques aiming to solve nonlinear optimization problems with emphasis on evolutionary optimization algorithms and discusses their relevance to analog design problem. The main virtues and weaknesses, as well as, the design issues of evolutionary algorithms are discussed with a description of the recent developments in this field. This chapter also introduces a new optimization kernel based on 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.