Abstract
The results indicate that the multilevel single-objective optimization engine locates near-optimal spiral inductor geometries with significantly fewer function evaluations than current techniques, whereas the overall synthesis methodology efficiently optimizes inductor designs with an improvement of up to 51% in key design constraints while reducing the impact of process variation and modeling error