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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Granaldi A, Decuzzi P (2006) The dynamic response of resistive microswitches: switching time and bouncing. J Micromech Microeng 16(7):1108
Vasca F, Verghese GC (1999) Adimensional models and participation factors for the analysis of induction motor dynamics. In: Industrial electronics, 1999. ISIE ’99. Proceedings of the IEEE international symposium on, vol 2, pp 480–485
Misic T, Najdanovic-Lukic M, Nesic L (2010) Dimensional analysis in physics and the buckingham theorem. Eur J Phys 31(4):893
Nicolet A, Delince F (1996) Implicit runge-kutta methods for transient magnetic field computation. IEEE Trans Magn 32(3):1405–1408
Michalewicz Z (1996) Genetic algorithms + data structures = evolution programs, 3rd edn. Springer, London
Tiwari S, Koch P, Fadel G, Deb K (2008) Amga: an archive-based micro genetic algorithm for multi-objective optimization. In: Proceedings of the 10th annual conference on genetic and evolutionary computation, GECCO ’08, ACM, New York, pp 729–736
Monzon-Verona JM, Garcia-Alonso S, Sosa J, Montiel-Nelson JA (2013) Multiobjective genetic algorithms applied to low power pressure microsensor design. Eng Comput 30(8):1128–1146
Acknowledgments
This work was funded by project BATTLEWISE—TEC2011-29148-C02-01—of the Spanish Ministry of Economy and Competitiveness.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Santana-Cabrera, J., Monzón-Verona, J.M., Santana-Martín, F.J., García-Alonso, S., Montiel-Nelson, J.A. (2015). Optimization of the Dimensionless Model of an Electrostatic Microswitch Based on AMGA Algorithm. In: Greiner, D., Galván, B., Périaux, J., Gauger, N., Giannakoglou, K., Winter, G. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-11541-2_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-11541-2_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11540-5
Online ISBN: 978-3-319-11541-2
eBook Packages: EngineeringEngineering (R0)