Pages that link to "Item:Q622606"

The following pages link to A method for simulation based optimization using radial basis functions (Q622606):

Displaying 27 items.

• Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO (Q322958) (← 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)
• Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption (Q506438) (← links)
• AESOP -- a numerical platform for aerodynamic shape optimization (Q622599) (← links)
• Combustion engine optimization: a multiobjective approach (Q622612) (← links)
• Embedding evolutionary strategy in ordinal optimization for hard optimization problems (Q693487) (← links)
• Improved strategies for radial basis function methods for global optimization (Q868637) (← 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)
• RBFOpt: an open-source library for black-box optimization with costly function evaluations (Q1741116) (← links)
• GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration (Q2069161) (← links)
• Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
• Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
• A surrogate-based cooperative optimization framework for computationally expensive black-box problems (Q2218881) (← links)
• Integration of expert knowledge into radial basis function surrogate models (Q2358065) (← links)
• ARGONAUT: algorithms for global optimization of constrained grey-box computational problems (Q2359400) (← links)
• A quasi-multistart framework for global optimization of expensive functions using response surface models (Q2393073) (← links)
• High-dimensional black-box optimization under uncertainty (Q2669612) (← links)
• Global Approximation for a Simulation Model Based onthe RBF Response Surface Set (Q2965070) (← links)
• (Q4967811) (← links)
• An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box Optimization (Q5172957) (← links)
• Surrogate‐based methods for black‐box optimization (Q5278217) (← links)
• A surrogate-based optimization method with RBF neural network enhanced by linear interpolation and hybrid infill strategy (Q5746706) (← links)
• A radial basis function method for global optimization (Q5940040) (← links)
• An improved mode-pursing sampling method that balances global exploration and local exploitation based on kriging (Q6048511) (← links)
• Optimized operational strategy of a solar reactor for thermochemical hydrogen generation (Q6547702) (← links)