Screening, predicting, and computer experiments
Technometrics
Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
Recent progress in unconstrained nonlinear optimization without derivatives
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Test Examples for Nonlinear Programming Codes
Test Examples for Nonlinear Programming Codes
A Direct Search Algorithm for Optimization with Noisy Function Evaluations
SIAM Journal on Optimization
Superlinear Convergence and Implicit Filtering
SIAM Journal on Optimization
Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization
Global Optimization by Multilevel Coordinate Search
Journal of Global Optimization
A Taxonomy of Global Optimization Methods Based on Response Surfaces
Journal of Global Optimization
Numerical Optimization Using Computer Experiments
Numerical Optimization Using Computer Experiments
Computer experiments and global optimization
Computer experiments and global optimization
Journal of Computational and Applied Mathematics
A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions
Journal of Global Optimization
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The software package SNOBFIT for bound-constrained (and soft-constrained) noisy optimization of an expensive objective function is described. It combines global and local search by branching and local fits. The program is made robust and flexible for practical use by allowing for hidden constraints, batch function evaluations, change of search regions, etc.