Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (SpringerBriefs in Computational Intelligence) (SpringerBriefs in Applied Sciences and Technology) (Springerbriefs in Applied Sciences and Technology/Springerbr)

by Frederico A.E. Rocha, Ricardo M.F. Martins, Nuno C.C. Lourenco, and Nuno C.G. Horta

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Book cover for Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms

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This book applies to the scientific area of electronic design automation (EDA) and addresses the automatic sizing of analog integrated circuits (ICs). Particularly, this book presents an approach to enhance a state-of-the-art layout-aware circuit-level optimizer (GENOM-POF), by embedding statistical knowledge from an automatically generated gradient model into the multi-objective multi-constraint optimization kernel based on the NSGA-II algorithm. The results showed allow the designer to explore the different trade-offs of the solution space, both through the achieved device sizes, or the respective layout solutions.
  • ISBN13 9783319021881
  • Publish Date 15 October 2013
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer International Publishing AG
  • Edition 2014 ed.
  • Format Paperback
  • Pages 69
  • Language English