Efficient global optimization algorithm assisted by multiple surrogate techniques
From MaRDI portal
Publication:2392755
DOI10.1007/s10898-012-9892-5zbMath1275.90072OpenAlexW1988696933MaRDI QIDQ2392755
Layne T. Watson, Felipe A. C. Viana, Raphael T. Haftka
Publication date: 2 August 2013
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-012-9892-5
Related Items
ARGONAUT: algorithms for global optimization of constrained grey-box computational problems, Surrogate‐based methods for black‐box optimization, Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO, A fully adaptive method for structural stochastic response analysis based on direct probability integral method, Quantifying uncertainty with ensembles of surrogates for blackbox optimization, Pseudo expected improvement criterion for parallel EGO algorithm, An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization, Adaptive kriging-assisted optimization of low-thrust many-revolution transfers to geostationary Earth orbit, Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems, A novel sampling method for adaptive gradient-enhanced kriging, Parallel efficient global optimization by using the minimum energy criterion, A kriging-assisted bi-objective constrained global optimization algorithm for expensive constrained optimization problems, Order-based error for managing ensembles of surrogates in mesh adaptive direct search, A surrogate-based cooperative optimization framework for computationally expensive black-box problems, Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for~computationally expensive black-box global optimization problems, Universal Prediction Distribution for Surrogate Models, Surrogate-based sequential Bayesian experimental design using non-stationary Gaussian processes, Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption, Filter-based adaptive Kriging method for black-box optimization problems with expensive objective and constraints, Bayesian optimization using deep Gaussian processes with applications to aerospace system design, Balancing global and local search in parallel efficient global optimization algorithms, Machine-learning in optimization of expensive black-box functions, Expected improvement for expensive optimization: a review, SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems, Batch sequential adaptive designs for global optimization, Interval uncertainty propagation by a parallel Bayesian global optimization method
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Expected improvement in efficient global optimization through bootstrapped Kriging
- Comparing three error criteria for selecting radial basis function network topology
- Differential evolution. A practical approach to global optimization. With CD-ROM.
- On the design of optimization strategies based on global response surface approximation models
- Efficient global optimization of expensive black-box functions
- Interpolation of spatial data. Some theory for kriging
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- A taxonomy of global optimization methods based on response surfaces
- Practical selection of SVM parameters and noise estimation for SVM regression
- Global optimization of stochastic black-box systems via sequential kriging meta-models
- Surrogate modelling for characterising the performance of a dielectric barrier discharge plasma actuator
- State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments
- Algorithm 905
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Cross-Validation of Regression Models
- The correct Kriging variance estimated by bootstrapping
- Multi-fidelity optimization via surrogate modelling
- Improved global convergence probability using multiple independent optimizations
- Algorithm 798
- An alternative measure of the reliability of ordinary kriging estimates
- A radial basis function method for global optimization
