A novel sampling method for adaptive gradient-enhanced kriging
From MaRDI portal
Publication:6118505
DOI10.1016/j.cma.2023.116456MaRDI QIDQ6118505
Yoojeong Noh, Mingyu Lee, Ikjin Lee
Publication date: 21 March 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
gradient informationadaptive gradient-enhanced kriging (AGEK)modeling time stageprimary infill-sampling stagesecondary infill-sampling stage
Cites Work
- Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions
- Efficient global optimization of expensive black-box functions
- A comparison of different methods for calculating tangent-stiffness matrices in a massively parallel computational peridynamics code
- Expected improvement for expensive optimization: a review
- Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
- High dimensional kriging metamodelling utilising gradient information
- Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space
- Optimization of expensive black-box problems via gradient-enhanced Kriging
- A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems
- Modified screening-based kriging method with cross validation and application to engineering design
- Aerodynamic shape design using evolutionary algorithms and new gradient-assisted metamodels
- Efficient global optimization algorithm assisted by multiple surrogate techniques
- Pseudo expected improvement criterion for parallel EGO algorithm
- Reanalysis of structures. A unified approach for linear, nonlinear, static and dynamic systems
- Full-field order-reduced Gaussian process emulators for nonlinear probabilistic mechanics
- Multi-fidelity cost-aware Bayesian optimization
- Optimization Concepts and Applications in Engineering
- Introduction to Quasi-Monte Carlo Integration and Applications
- Multi-fidelity Bayesian optimization to solve the inverse Stefan problem
- On the computation of analytic sensitivities of eigenpairs in isogeometric analysis
This page was built for publication: A novel sampling method for adaptive gradient-enhanced kriging