Title :
An evolutionary optimization kernel using a dynamic GA-SVM model applied to analog IC design
Author :
Barros, Manuel ; Guilherme, Jorge ; Horta, Nuno
Author_Institution :
Inst. Politec. de Tomar, Tomar
Abstract :
In this paper a new design automation approach to the problem of sizing analog ICs is described. The proposed approach employs a dynamic learning scheme, based on Support Vector Machines (SVMs), which together with an evolutionary strategy is used to create feasibility models to efficiently prune the design search space during the optimization process. The proposed approach is demonstrated for the design of CMOS operational amplifiers.
Keywords :
analogue integrated circuits; circuit optimisation; electronic engineering computing; genetic algorithms; support vector machines; analog IC design; dynamic learning scheme; evolutionary optimization kernel; genetic algorithm; support vector machine; Analog integrated circuits; Design automation; Design optimization; Genetic algorithms; Integrated circuit modeling; Kernel; Machine learning; Operational amplifiers; Semiconductor device modeling; Support vector machines;
Conference_Titel :
Circuit Theory and Design, 2007. ECCTD 2007. 18th European Conference on
Conference_Location :
Seville
Print_ISBN :
978-1-4244-1341-6
Electronic_ISBN :
978-1-4244-1342-3
DOI :
10.1109/ECCTD.2007.4529529
