Conference paper
An Evolutionary Approach for Robust Layout Synthesis of MEMS
The paper introduces a robust design method for layout synthesis of MEM resonators subject to inherent geometric uncertainties such as the fabrication error on the sidewall of the structure. The robust design problem is formulated as a multi-objective constrained optimisation problem after certain assumptions and treated with multiobjective genetic algorithm (MOGA), a special type of evolutionary computing approaches.
Case study based on layout synthesis of a comb-driven MEM resonator shows that the approach proposed in this paper can lead to design results that meet the target performance and are less sensitive to geometric uncertainties than typical designs
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2005 |
| Pages: | 1186,1187,1188,1189,1190,1191 |
| Proceedings: | 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics |
| ISBN: | 0780390474 , 1538602547 , 9780780390478 and 9781538602546 |
| Types: | Conference paper |
| DOI: | 10.1109/AIM.2005.1511171 |
Algorithm design and analysis Constraint optimization Design optimization Fabrication Genetic algorithms MEM resonators MEMS Micromechanical devices Optical resonators Optical sensors Robustness Uncertainty design evolutionary computation genetic algorithms geometric uncertainties microelectromechanical systems micromechanical devices multi-objective constrained optimisation problem multiobjective genetic algorithm resonators robust layout synthesis
