Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms
Nuno C.C. Lourenço, Frederico A.E. Rocha, Ricardo M.F. Martins, et al.
Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik
Beschreibung
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.
Kundenbewertungen
Electronic Design Automation, Evolutionary Computation, algorithm analysis and problem complexity, Gradient Model, Multi-Objective Multi-Constraint Optimization, Analog IC Sizing