Efficient Design Optimization of High-Performance MEMS Based on a Surrogate-Assisted Self-Adaptive Differential Evolution

Efficient Design Optimization of High-Performance MEMS Based on a Surrogate-Assisted Self-Adaptive Differential Evolution

High-performance microelectromechanical systems (MEMS) are playing a critical role in modern engineering systems. Due to computationally expensive numerical analysis and stringent design specifications nowadays, both the optimization efficiency and quality of design solutions become challenges for a...

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Bibliographic Details
Main Authors: Mobayode O. Akinsolu, Bo Liu, Pavlos I. Lazaridis, Keyur K. Mistry, Maria Evelina Mognaschi, Paolo Di Barba, Zaharias D. Zaharis
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
MEMS design optimization
high-performance MEMS design
surrogate model assisted evolutionary algorithm
Gaussian process
differential evolution
Online Access:https://ieeexplore.ieee.org/document/9078676/

Internet

https://ieeexplore.ieee.org/document/9078676/

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