Biogeography-inspired multiobjective optimization for helping MEMS synthesis

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Abstract

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.

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Di Barba, P., Mognaschi, M. E., Venini, P., & Wiak, S. (2017). Biogeography-inspired multiobjective optimization for helping MEMS synthesis. Archives of Electrical Engineering, 66(3), 607–623. https://doi.org/10.1515/aee-2017-0046

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