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Bayesian optimization with adaptive surrogate models for automated experimental design | npj Computational Materials
Bayesian optimization with adaptive surrogate models for automated experimental design | npj Computational Materials

SADEA-II: A generalized method for efficient global optimization of antenna design - ScienceDirect
SADEA-II: A generalized method for efficient global optimization of antenna design - ScienceDirect

Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems | SpringerLink
Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems | SpringerLink

Efficient Global Optimization (EGO) — SMT 1.1.0 documentation
Efficient Global Optimization (EGO) — SMT 1.1.0 documentation

PDF) Efficient Global Optimization of Expensive Black-Box Functions
PDF) Efficient Global Optimization of Expensive Black-Box Functions

Full article: A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems
Full article: A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems

PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar
PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar

Full article: Efficient global optimisation for black-box simulation via sequential intrinsic Kriging
Full article: Efficient global optimisation for black-box simulation via sequential intrinsic Kriging

Full article: Efficient global optimisation for black-box simulation via sequential intrinsic Kriging
Full article: Efficient global optimisation for black-box simulation via sequential intrinsic Kriging

A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems | SpringerLink
A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems | SpringerLink

GitHub - paulknysh/blackbox: A Python module for parallel optimization of expensive black-box functions
GitHub - paulknysh/blackbox: A Python module for parallel optimization of expensive black-box functions

PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar
PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar

PDF) Efficient Global Optimization of Expensive Black-Box Functions
PDF) Efficient Global Optimization of Expensive Black-Box Functions

PDF) Efficient Global Optimization of Expensive Black-Box Functions
PDF) Efficient Global Optimization of Expensive Black-Box Functions

Efficient Global Optimization (EGO) — SMT 1.1.0 documentation
Efficient Global Optimization (EGO) — SMT 1.1.0 documentation

Safe global optimization of expensive noisy black-box functions in the $$\delta $$ δ -Lipschitz framework | SpringerLink
Safe global optimization of expensive noisy black-box functions in the $$\delta $$ δ -Lipschitz framework | SpringerLink

PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar
PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar

PDF) Efficient Global Optimization of Expensive Black-Box Functions
PDF) Efficient Global Optimization of Expensive Black-Box Functions

Global optimization of metasurface designs using statistical learning methods | Scientific Reports
Global optimization of metasurface designs using statistical learning methods | Scientific Reports

PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar
PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar

A KRIGING-BASED UNCONSTRAINED GLOBAL OPTIMIZATION ALGORITHM - Document - Gale Academic OneFile
A KRIGING-BASED UNCONSTRAINED GLOBAL OPTIMIZATION ALGORITHM - Document - Gale Academic OneFile

PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar
PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar

Enhanced surrogate assisted framework for constrained global optimization of expensive black-box functions - ScienceDirect
Enhanced surrogate assisted framework for constrained global optimization of expensive black-box functions - ScienceDirect

A Kriging-based global optimization method using multi-points infill search criterion - Li Yaohui, 2017
A Kriging-based global optimization method using multi-points infill search criterion - Li Yaohui, 2017

PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar
PDF] Efficient Global Optimization of Expensive Black-Box Functions | Semantic Scholar

Bayesian Optimization for Global Optimization of Expensive Black-box Functions | MIT CSAIL
Bayesian Optimization for Global Optimization of Expensive Black-box Functions | MIT CSAIL

Efficient Global Optimization (EGO) — SMT 1.1.0 documentation
Efficient Global Optimization (EGO) — SMT 1.1.0 documentation