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Biogeography-inspired multiobjective optimization for helping MEMS synthesis

Biogeography-inspired multiobjective optimization for helping MEMS synthesis AbstractThe aim of the paper is to assess the applicability of a multi-objective biogeography-based optimisation algorithm in MEMS synthesis. In order to test the performances of the proposed method in this research field, the optimal shape design of an electrostatic micromotor, and two different electro-thermo-elastic microactuators are considered as the case studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Electrical Engineering de Gruyter

Biogeography-inspired multiobjective optimization for helping MEMS synthesis

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Publisher
de Gruyter
Copyright
© 2017 Polish Academy of Sciences
ISSN
2300-2506
eISSN
2300-2506
DOI
10.1515/aee-2017-0046
Publisher site
See Article on Publisher Site

Abstract

AbstractThe aim of the paper is to assess the applicability of a multi-objective biogeography-based optimisation algorithm in MEMS synthesis. In order to test the performances of the proposed method in this research field, the optimal shape design of an electrostatic micromotor, and two different electro-thermo-elastic microactuators are considered as the case studies.

Journal

Archives of Electrical Engineeringde Gruyter

Published: Sep 1, 2017

References