Hybrid uncertainty propagation based on multi-fidelity surrogate model
There always exist multiple uncertainties including random uncertainty, interval uncertainty,
and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the …
and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the …
Vibration prediction and analysis of strip rolling mill based on XGBoost and Bayesian optimization
Y Zhang, R Lin, H Zhang, Y Peng - Complex & Intelligent Systems, 2023 - Springer
The stable operation of strip rolling mill is the key factor to ensure the stability of product
quality. The design capability of existing domestic imported and self-developed strip rolling …
quality. The design capability of existing domestic imported and self-developed strip rolling …
Bayesian optimization for robust design of steel frames with joint and individual probabilistic constraints
This work proposes a Bayesian optimization (BO) method for solving multi-objective robust
design optimization (RDO) problems of steel frames under aleatory uncertainty in external …
design optimization (RDO) problems of steel frames under aleatory uncertainty in external …
An augmented formulation for robust design optimization of structures using stochastic simulation method
Abstract Robust Design Optimization (RDO) of structures has emerged as an important
methodology that seeks to determine a design that is insensitive to input variations …
methodology that seeks to determine a design that is insensitive to input variations …
Improved stochastic subset optimization method for structural design optimization
Abstract The Stochastic Subset Optimization (SSO) algorithm was proposed for optimal
reliability problems that minimizes the probability of system failure over the admissible space …
reliability problems that minimizes the probability of system failure over the admissible space …
Sequential sampling approach to energy‐based multi‐objective design optimization of steel frames with correlated random parameters
This work presents a novel sequential sampling approach to the multi‐objective reliability‐
based design optimization of moment‐resisting steel frames subjected to earthquake …
based design optimization of moment‐resisting steel frames subjected to earthquake …
DEVELOPMENT OF COMPUTATIONAL SCHEMES OF GENERALIZED KINEMATIC DEVICES THAT PRECISELY REGULATE THE NATURAL FREQUENCY …
L Lyakhovich, P Akimov, Z Galyautdinov… - International Journal for …, 2023 - ijccse.iasv.ru
To date, for some elastic systems with a finite number of degrees of mass freedom, in which
the directions of mass movement are parallel and lie in the same plane, methods have been …
the directions of mass movement are parallel and lie in the same plane, methods have been …
XGB and SHAP credit scoring model based on Bayesian optimization
Y Kong, Y Wang, S Sun, J Wang - Journal of Computing and Electronic …, 2023 - drpress.org
In recent years, machine learning technology has achieved fruitful results in many fields.
However, in the fields of credit scoring and medical treatment, due to the lack of …
However, in the fields of credit scoring and medical treatment, due to the lack of …
Robust topology optimization of truss-like continuum structures under uncertain loads based on cloud model
X Guo, K Zhou, S Shi - Mathematics and Mechanics of Solids, 2024 - journals.sagepub.com
The traditional structural performance may be seriously degraded due to applied
indeterministic cases. A novel framework for robust topology optimization of truss-like …
indeterministic cases. A novel framework for robust topology optimization of truss-like …
Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study
Self-reconfiguration in manufacturing systems refers to the ability to autonomously execute
changes in the production process to deal with variations in demand and production …
changes in the production process to deal with variations in demand and production …