DATE '99 Proceedings of the conference on Design, automation and test in Europe
MAELSTROM: efficient simulation-based synthesis for custom analog cells
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
IEEE Intelligent Systems
Comparison Of Methods For Using Reduced Models To Speed Up Design Optimization
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Support vector machines for analog circuit performance representation
Proceedings of the 40th annual Design Automation Conference
Performance Modeling of Analog Integrated Circuits Using Least-Squares Support Vector Machines
Proceedings of the conference on Design, automation and test in Europe - Volume 1
A comprehensive survey of fitness approximation in evolutionary computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Anaconda: simulation-based synthesis of analog circuits via stochastic pattern search
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
AMGIE-A synthesis environment for CMOS analog integrated circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Extraction and use of neural network models in automated synthesis of operational amplifiers
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Fast analog circuit synthesis using sensitivity based near neighbor searches
Proceedings of the conference on Design, automation and test in Europe
Analog circuits optimization based on evolutionary computation techniques
Integration, the VLSI Journal
GENOM-POF: multi-objective evolutionary synthesis of analog ICs with corners validation
Proceedings of the 14th annual conference on Genetic and evolutionary computation
LAYGEN II: automatic analog ICs layout generator based on a template approach
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Variability aware SVM macromodel based design centering of analog circuits
Analog Integrated Circuits and Signal Processing
Analog Integrated Circuits and Signal Processing
Routing analog ICs using a multi-objective multi-constraint evolutionary approach
Analog Integrated Circuits and Signal Processing
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An efficient use of macromodeling techniques is pointed out as an effective approach to improve the convergence and speed of the optimization process. The methodology presented in this paper is based on a learning scheme using Support Vector Machines(SVMs) that together with and an evolutionary strategy is used to create efficient models to estimate and optimize the performance parameters of analog and mixed-signal ICs. The SVM is used to identify the feasible design space regions while at the same time the evolutionary techniques are looking for the global optimum. Finally, the proposed optimization based methodology is demonstrated for the design of a well known class of CMOSoperational amplifier topologies. The efficiency of the proposed approach is compared with standard and modified genetic algorithm kernels.