Name
Abstract | ||
|---|---|---|
Simulation-based optimization and equation-based optimization are two popular approaches for analog design optimization. In order to combine the advantages of both approaches, a novel simplex-based design space reduction method is proposed in this paper to improve the efficiency of simulation-based optimization. By using the proposed two-stage optimization approach, the design space exhibiting a global optimal point can be simplified to a small region rapidly, and the simulation-based optimization can then be applied to search the region to identify the global optimal point accurately. As revealed in the experimental results, in several analog circuits, the proposed method exhibits higher efficiency than traditional global search approaches do, without sacrificing accuracy. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISCAS.2014.6865145 | ISCAS |
Keywords | Field | DocType |
analog design optimization,analog circuits,two-stage optimization approach,analogue integrated circuits,simulated annealing algorithm,global optimal point,integrated circuit design,simulation-based optimization,electronic design automation,equation-based optimization,simplex-based optimization,simplex-based design space reduction method,simulated annealing,analog design automation,design methodology,algorithm design and analysis,accuracy,mathematical model,phase locked loops,optimization | Mathematical optimization,Power optimization,Discrete optimization,Computer science,Simulation-based optimization,Electronic engineering,Integrated circuit design,Topology optimization,Physical design,Multidisciplinary design optimization,Floorplan | Conference |
ISSN | Citations | PageRank |
0271-4302 | 1 | 0.37 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsing-Han Tseng | 1 | 1 | 0.37 |
| Shiou-Wen Wang | 2 | 1 | 0.37 |
| Jian-Yu Chen | 3 | 14 | 2.01 |
| Chien-Nan Jimmy Liu | 4 | 97 | 27.07 |