Biogeography-inspired multiobjective optimization for helping MEMS synthesis

• Autorzy: Di Barba P. , Mognaschi M. E. , Venini P. , Wiak S.

Identyfikatory

DOI

10.1515/aee-2017-0046

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

biogeography-inspired optimisation; finite-element method; MEMS; multiphysics; analysis; Pareto optimality

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2017
• Tom: Vol. 66, nr 3
• Strony: 607--623
• Opis fizyczny: Bibliogr. 32 poz., rys., tab., wz.

Twórcy

autor

Di Barba P.

• Department of Electrical, Computer and Biomedical Engineering, University of Pavia Via Ferrata 5, 27100 Pavia, Italy

autor

Mognaschi M. E.

• Department of Electrical, Computer and Biomedical Engineering, University of Pavia Via Ferrata 5, 27100 Pavia, Italy

autor

Venini P.

• Department of Civil Engineering and Architecture, University of Pavia Via Ferrata 3, 27100 Pavia, Italy

autor

Wiak S.

• Institute of Mechatronics and Information Systems, Łódz University of Technology Stefanowskiego 18/22 Str., 90-924 Łódz, Poland

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).