Multi-objective genetic algorithms applied to low power pressure microsensor design

José Miguel Monzón-Verona (Microelectromechanic Systems Division and the Department of Electrical Engineering, Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
Santiago Garcia-Alonso (Microelectromechanic Systems Division and the Department of Electrical Engineering, Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
Javier Sosa (Microelectromechanic Systems Division and the Department of Electrical Engineering, Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)
Juan A. Montiel-Nelson (Microelectromechanic Systems Division and the Department of Electrical Engineering, Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)

Engineering Computations

ISSN: 0264-4401

Publication date: 11 November 2013

Abstract

Purpose

The purpose of this paper is to explain in detail the optimization of the sensitivity versus the power consumption of a pressure microsensor using multi-objective genetic algorithms.

Design/methodology/approach

The tradeoff between sensitivity and power consumption is analyzed and the Pareto frontier is identified by using NSGA-II, AMGA-II and ɛ-MOEA methods.

Findings

Comparison results demonstrate that NSGA-II provides optimal solutions over the entire design space for spread metric analysis, and AMGA-II is better for convergence metric analysis.

Originality/value

This paper provides a new multiobjective optimization tool for the designers of low power pressure microsensors.

Keywords

Acknowledgements

This work was funded by the projects BATTLEWISE (TEC2011-29148-C02-01) of the SpanishMinistry of Economy and Competitiveness and MICROIN (SOLSUB–C200801000283) by the Canary Agency for Research, Innovation and Information Society.

Citation

Miguel Monzón-Verona, J., Garcia-Alonso, S., Sosa, J. and A. Montiel-Nelson, J. (2013), "Multi-objective genetic algorithms applied to low power pressure microsensor design", Engineering Computations, Vol. 30 No. 8, pp. 1128-1146. https://doi.org/10.1108/EC-03-2012-0072

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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