Kriging Metamodeling-Assisted Multi-Objective Optimization of CMOS Current Conveyors
Mouna Kotti, Mourad Fakhfakh, Esteban Tlelo‐Cuautle · 2018
In this brief, we deal with the generation of the Pareto front for multi-objective analog circuit sizing optimization. The main idea of the proposed work consists of using metamodels of the considered performances to generate the set of nondominated solutions. These models serve as evaluators. They offer several advantages, mainly their high precision for reproducing the real behavior of the considered performances, and their very rapid evaluation, when compared to their counterpart, i.e. the in-loop-based sizing technique. Multiobjective particle swarm optimization (MOPSO) technique is used as the optimization metaheuristic. The proposed approach is first applied to some mathematical test functions, then, we consider the optimal sizing of MOS current conveyors, where two conflicting objectives are considered, namely maximizing the current transfer cutoff frequency (fci) and minimizing the parasitic X-port resistance (Rx). Obtained results are compared to those reached using the conventional in-loop optimization technique. Hspice simulations, using AMS 0.35μm CMOS technology, are given to highlight these reached results.