Kchaou, B. O., A. Garbaya, M. Kotti, P. Pereira, M. Fakhfakh, and H. M. Fino,
"Sensitivity aware NSGA-II based Pareto front generation for the optimal sizing of analog circuits",
Integration, the \{VLSI\} Journal, vol. 55, pp. 220 - 226, 2016.
AbstractAbstract This paper deals with multiobjective analog circuit optimization taking into consideration performance sensitivity vis-a-vis parameters' variations. It mainly considers improving computation time of the inloop optimization approaches by including sensitivity considerations in the Pareto front generation process, not as a constraint, but by involving it within the used metaheuristic evolution process. Different approaches are proposed and compared. NSGA-II metaheuristic is considered. The proposed sensitivity aware approaches are showcased via two analog circuits, namely, a second generation \{CMOS\} current conveyor and a \{CMOS\} voltage follower. We show that the proposed ideas considerably alleviate the long computation time of the process and improve the quality of the generated front, as well.
Kchaou, O. B., A. Sallem, P. Pereira, M. Fakhfakh, and M. H. Fino,
"Multi-objective sensitivity-based optimization of analog circuits exploiting NSGA-II front ranking",
Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2015 International Conference on, Istanbul, Turkey, pp. 1-4, Sept, 2015.
AbstractThis work deals with the multi-objective optimization of analog circuits by generating the Pareto front where elements are low sensitive to parameters' variations. NSGA-II is used for obtaining the non-dominated solutions. Richardson extrapolation technique is used for the in-loop optimization approach for computing partial derivatives and, thus, the solutions' sensitivity. NSGA-II Pareto fronts' intrinsic ranking is exploited for the generation of the new ‘low-sensitive’ Pareto front. The case of the optimal sizing of a CMOS voltage follower is considered to exemplify the proposed approach.
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