Please use this identifier to cite or link to this item:
Title: Optimization of the dimensionless model of an electrostatic microswitch based on AMGA algorithm
Authors: Santana-Cabrera, Jorge 
Monzón-Verona, José Miguel 
Santana Martin, Francisco Jorge 
Garcia-Alonso Montoya, Santiago 
Montiel Nelson, Juan Antonio 
UNESCO Clasification: 3306 Ingeniería y tecnología eléctricas
Keywords: Electrostatic microswitch
Dimensional analysis
Multi-objective optimization
Issue Date: 2015
Publisher: Springer 
Project: Sensor Mems Inalámbrico Sin Batería. 
Journal: Computational Methods in Applied Sciences 
Conference: 10th EUROGEN International Conference 2013 
Abstract: 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.
ISBN: 978-3-319-11540-5
ISSN: 1871-3033
DOI: 10.1007/978-3-319-11541-2_33
Source: 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
Appears in Collections:Capítulo de libro
Show full item record

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.