Name
Title | ||
|---|---|---|
Multiobjective design optimization of electrostatic rotary microactuators using evolutionary algorithms |
Abstract | ||
|---|---|---|
An example of soft computing applied to electrical engineering is presented and discussed. Attention is focused on the design techniques of MicroElectroMechanical Systems. In particular, the criterion of Pareto optimality is used to identify the optimal shape design of a rotary electrostatic microactuator. Accordingly, two algorithms of evolutionary optimization are presented and compared. The requirements in terms of know-how and computing facilities fit the resources of a research-and-development center of an industrial company. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11785231_37 | ICAISC |
Keywords | Field | DocType |
industrial company,soft computing,pareto optimality,design technique,optimal shape design,research-and-development center,evolutionary optimization,evolutionary algorithm,microelectromechanical systems,multiobjective design optimization,electrostatic rotary microactuators,computing facility,electrical engineering,design optimization | Mathematical optimization,Optimality criterion,Evolutionary algorithm,Computer science,Multi-objective optimization,Optimal design,Soft computing,Precision engineering,Pareto principle,Microactuator | Conference |
Volume | ISSN | ISBN |
4029 | 0302-9743 | 3-540-35748-3 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Di Barba | 1 | 5 | 2.87 |
| Sławomir Wiak | 2 | 0 | 1.01 |