Name
Abstract | ||
|---|---|---|
The efficient optimization of integrated spiral inductors remains a fundamental barrier to the realization of effective analog and mixed-signal design automation. In this paper, we develop a scalable multi-level optimization methodology for spiral inductors that integrates the flexibility of constrained global optimization using Mesh-Adaptive Direct Search (MADS) algorithms with the rapid convergence of local nonlinear convex optimization techniques. Experimental results indicate that our methodology locates optimal spiral inductor geometries with significantly fewer function evaluations than current techniques. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1065579.1065749 | DAC |
Keywords | Field | DocType |
mesh-adaptive direct search,integrated spiral inductor optimization,effective analog,scalable multi-level optimization methodology,efficient optimization,current technique,integrated spiral inductors,optimal spiral inductor geometries,global optimization,spiral inductors,multi-level approach,local nonlinear convex optimization,inductors,algorithm design and analysis,design automation,convex optimization,electronic design automation,q factor,spirals,design optimization,integrated circuit design,constraint optimization | Mathematical optimization,Nonlinear system,Global optimization,Computer science,Inductor,Spiral inductor,Electronic engineering,Integrated circuit design,Electronic design automation,Convex optimization,Scalability | Conference |
ISSN | ISBN | Citations |
0738-100X | 1-59593-058-2 | 11 |
PageRank | References | Authors |
1.31 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arthur Nieuwoudt | 1 | 207 | 20.59 |
| Yehia Massoud | 2 | 772 | 113.05 |