Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS

Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS

This study presents a comprehensive multi-objective optimization framework specifically designed for micro-electromechanical systems (MEMS). The framework integrates both traditional and adaptive optimization techniques, named Surrogate-Assisted Multi-Objective Optimization (SAMOO) and Adaptive-SAMO...

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Bibliographic Details
Main Authors: Ali Nazari, Armin Aghajani, Phiona Buhr, Byoungyoul Park, Yunli Wang, Cyrus Shafai
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Micromachines
Subjects:
MEMS
design optimization
surrogate modeling
Lorentz force actuator
thermal actuator
multi-objective optimization
Online Access:https://www.mdpi.com/2072-666X/16/7/753
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