Modeling, analysis, and optimization under uncertainties: a review

E Acar, G Bayrak, Y Jung, I Lee, P Ramu… - Structural and …, 2021 - Springer
Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm

T Zafar, Y Zhang, Z Wang - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
Uncertainty inadvertently exists in various stages of engineering system design,
development, and operating conditions. During the system design and development stages …

TransPV: Refining photovoltaic panel detection accuracy through a vision transformer-based deep learning model

Z Guo, J Lu, Q Chen, Z Liu, C Song, H Tan, H Zhang… - Applied Energy, 2024 - Elsevier
The increasing need to develop renewable energy sources to combat climate change has
led to a significant rise in demand for photovoltaic (PV) installations. Consequently …

A robust desirability function method for multi-response surface optimization considering model uncertainty

Z He, PF Zhu, SH Park - European Journal of Operational Research, 2012 - Elsevier
A robust desirability function approach to simultaneously optimizing multiple responses is
proposed. The approach considers the uncertainty associated with the fitted response …

Reliability-based robust design optimization: a general methodology using genetic algorithm

AF Shahraki, R Noorossana - Computers & Industrial Engineering, 2014 - Elsevier
In this paper, we present an improved general methodology including four stages to design
robust and reliable products under uncertainties. First, as the formulation stage, we consider …

Reliability-based robust optimization design for tolerance of aerospace thin-walled components based on surrogate model

D Xue, Y Li, H Zhang, X Tong, B Gao, J Yu - Advanced Engineering …, 2024 - Elsevier
In the manufacturing and assembly of aerospace thin-walled components (ATCs), the
rational optimization of part tolerances is crucial for improving the outer shape assembly …

On the consideration of uncertainty in design: optimization-reliability-robustness

N Lelièvre, P Beaurepaire, C Mattrand… - Structural and …, 2016 - Springer
Structural designs proposed by engineers aim to ensure that specific defined requirements
are satisfied. Structural optimization is also widely used to identify an admissible design with …

The Taguchi robust design method: Current status and future directions

BJ Yum, SJ Kim, SK Seo, JH Byun… - Journal of Korean …, 2013 - koreascience.kr
During the past several decades, the Taguchi robust design method has been widely used
in various fields successfully. On the other hand, some researchers and practitioners have …

Robust and reliability-based design optimization framework for wing design

RM Paiva, C Crawford, A Suleman - AIAA journal, 2014 - arc.aiaa.org
This paper outlines an architecture for simultaneous analysis, robustness, and reliability
calculations in aircraft wing design optimization. Robust design optimization and reliability …

Multi-objective evolutionary algorithm on reliability redundancy allocation with interval alternatives for system parameters

B Maneckshaw, GS Mahapatra - Neural Computing and Applications, 2022 - Springer
This paper presents a multi-objective reliability redundancy allocation model with constraints
representing the system complexity. A reliability model to enhance the system reliability and …