Optimization of Micro-Electromechanical Lorentz Actuator Using a Surrogate Model Accelerated Genetic Algorithm

Optimization of Micro-Electromechanical Lorentz Actuator Using a Surrogate Model Accelerated Genetic Algorithm

A surrogate model (SM)-assisted multi-objective genetic algorithm (GA) is presented that is used to accelerate the performance optimization of a MEMS actuator. The GA employs both finite element method (FEM) simulations and the SM together to undertake the multi-objective optimization. The algorithm...

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Bibliographic Details
Main Authors: Phiona Buhr, Cyrus Shafai, Byoungyoul Park, Yunli Wang, Miroslav Belov
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Proceedings
Subjects:
MEMS
Lorentz actuator
design optimization
surrogate model
genetic algorithm
Online Access:https://www.mdpi.com/2504-3900/97/1/191
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