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http://hdl.handle.net/10553/44321
| Título: | Optimization of the dimensionless model of an electrostatic microswitch based on AMGA algorithm | Autores/as: | Santana-Cabrera, Jorge Monzón-Verona, José Miguel Santana Martin, Francisco Jorge Garcia-Alonso Montoya, Santiago Montiel Nelson, Juan Antonio |
Clasificación UNESCO: | 3306 Ingeniería y tecnología eléctricas | Palabras clave: | Electrostatic microswitch Dimensional analysis Multi-objective optimization |
Fecha de publicación: | 2015 | Editor/a: | Springer | Proyectos: | Sensor Mems Inalámbrico Sin Batería. | Publicación seriada: | Computational Methods in Applied Sciences | Conferencia: | 10th EUROGEN International Conference 2013 | Resumen: | In this paper a micro genetic algorithm for multi-objective optimization (AMGA) is used to minimize the number of function evaluations of the dimensionless model of an electrostatic microswitch. A non-dimensional dynamic model is proposed, and three objective functions are defined: the closing dimensionless time of the first impact, the maximum dimensionless speed and the maximum dimensionless displacement of the first impact. This work has been carried out using dimensional analysis. Results demonstrate an interesting methodology based on AMGA for optimizing the closing time and displacement of the first impact in a microswitch. | URI: | http://hdl.handle.net/10553/44321 | ISBN: | 978-3-319-11540-5 | ISSN: | 1871-3033 | DOI: | 10.1007/978-3-319-11541-2_33 | Fuente: | Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou, Gabriel Winter (Eds.). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 36, p. 501-509 |
| Colección: | Capítulo de libro |
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