Biogeography-inspired multiobjective optimization for helping MEMS synthesis

Di Barba Paolo; Mognaschi Maria Evelina; Venini Paolo; Wiak Slavomir

doi:10.1515/aee-2017-0046

Archives of Electrical Engineering (Sep 2017)

Biogeography-inspired multiobjective optimization for helping MEMS synthesis

Di Barba Paolo,
Mognaschi Maria Evelina,
Venini Paolo,
Wiak Slavomir

Affiliations

Di Barba Paolo: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100Pavia, Italy
Mognaschi Maria Evelina: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100Pavia, Italy
Venini Paolo: Department of Civil Engineering and Architecture, University of Pavia, Via Ferrata 3, 27100Pavia, Italy
Wiak Slavomir: Institute of Mechatronics and Information Systems, Łódz University of Technology, Stefanowskiego 18/22 Str., 90-924Łódz, Poland

DOI: https://doi.org/10.1515/aee-2017-0046
Journal volume & issue: Vol. 66, no. 3
pp. 607 – 623

Abstract

Read online

The 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.

Published in Archives of Electrical Engineering

ISSN: 2300-2506 (Online)
Publisher: Polish Academy of Sciences
Country of publisher: Poland
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://journals.pan.pl/aee

About the journal

Abstract

Keywords