Pages that link to "Item:Q5940040"

The following pages link to A radial basis function method for global optimization (Q5940040):

Displaying 50 items.

• Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques (Q273312) (← links)
• Global optimization of expensive black box problems with a known lower bound (Q367162) (← links)
• Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints (Q367165) (← links)
• Model reduction by CPOD and Kriging: application to the shape optimization of an intake port (Q381471) (← links)
• Crashworthiness optimization of foam-filled tapered thin-walled structure using multiple surrogate models (Q381937) (← links)
• On strong homogeneity of two global optimization algorithms based on statistical models of multimodal objective functions (Q440675) (← links)
• Node adaptation for global collocation with radial basis functions using direct multisearch for multiobjective optimization (Q463692) (← links)
• Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for~computationally expensive black-box global optimization problems (Q486382) (← links)
• ParEGO extensions for multi-objective optimization of expensive evaluation functions (Q506445) (← links)
• Automated parameterization of intermolecular pair potentials using global optimization techniques (Q525739) (← links)
• Constrained global optimization of expensive black box functions using radial basis functions (Q556005) (← links)
• Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions (Q614061) (← links)
• P-algorithm based on a simplicial statistical model of multimodal functions (Q621736) (← links)
• A method for simulation based optimization using radial basis functions (Q622606) (← links)
• A metamodel-assisted evolutionary algorithm for expensive optimization (Q651911) (← links)
• An experimental methodology for response surface optimization methods (Q695338) (← links)
• Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation (Q726924) (← links)
• Delaunay-based derivative-free optimization via global surrogates. I: Linear constraints (Q727384) (← links)
• SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems (Q727388) (← links)
• SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications (Q743971) (← links)
• On the safety of Gomory cut generators (Q744203) (← links)
• Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces (Q746814) (← links)
• Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification (Q785638) (← links)
• On the design of optimization strategies based on global response surface approximation models (Q811880) (← links)
• An informational approach to the global optimization of expensive-to-evaluate functions (Q835790) (← links)
• A review of recent advances in global optimization (Q842710) (← links)
• Improved strategies for radial basis function methods for global optimization (Q868637) (← links)
• Parallel radial basis function methods for the global optimization of expensive functions (Q881510) (← links)
• Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection (Q905751) (← links)
• Constrained proper orthogonal decomposition based on QR-factorization for aerodynamical shape optimization (Q907544) (← links)
• An adaptive radial basis algorithm (ARBF) for expensive black-box global optimization (Q934800) (← links)
• Multi-funnel optimization using Gaussian underestimation (Q946340) (← links)
• An adaptive radial basis algorithm (ARBF) for expensive black-box mixed-integer constrained global optimization (Q1024095) (← links)
• Improved scatter search for the global optimization of computationally expensive dynamic models (Q1029673) (← links)
• A kriging based method for the solution of mixed-integer nonlinear programs containing black-box functions (Q1029679) (← links)
• Rational radial basis function interpolation with applications to antenna design (Q1034645) (← links)
• Accelerated random search for constrained global optimization assisted by radial basis function surrogates (Q1636769) (← links)
• Efficient solution of many instances of a simulation-based optimization problem utilizing a partition of the decision space (Q1657403) (← links)
• Optimization of black-box problems using Smolyak grids and polynomial approximations (Q1668801) (← links)
• GOSAC: global optimization with surrogate approximation of constraints (Q1675641) (← links)
• MILP models for the selection of a small set of well-distributed points (Q1727947) (← links)
• RBFOpt: an open-source library for black-box optimization with costly function evaluations (Q1741116) (← links)
• An adaptive framework for costly black-box global optimization based on radial basis function interpolation (Q1753131) (← links)
• TRIOPT: A triangulation-based partitioning algorithm for global optimization (Q1763759) (← links)
• Global optimization of costly nonconvex functions using radial basis functions (Q1863843) (← links)
• Registrar: a complete-memory operator to enhance performance of genetic algorithms (Q1928318) (← links)
• Optimizing radial basis functions by d.c. programming and its use in direct search for global derivative-free optimization (Q1935888) (← links)
• Setting targets for surrogate-based optimization (Q1942023) (← links)
• On similarities between two models of global optimization: Statistical models and radial basis functions (Q1959246) (← links)
• An experimental study of univariate global optimization algorithms for finding the shape parameter in radial basis functions (Q1982910) (← links)