Pages that link to "Item:Q5278217"

The following pages link to Surrogate‐based methods for black‐box optimization (Q5278217):

Displaying 41 items.

• A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages (Q342190) (← links)
• Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (Q381435) (← links)
• An efficient class of direct search surrogate methods for solving expensive optimization problems with CPU-time-related functions (Q381689) (← 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)
• Locally weighted regression models for surrogate-assisted design optimization (Q724346) (← links)
• Finding effective points by surrogate models with overcomplete bases (Q929912) (← links)
• Notes on the convergence and applications of surrogate optimization (Q934513) (← links)
• A similarity-based surrogate model for enhanced performance in genetic algorithms (Q980520) (← links)
• A largest empty hypersphere metaheuristic for robust optimisation with implementation uncertainty (Q1634054) (← links)
• Accelerated random search for constrained global optimization assisted by radial basis function surrogates (Q1636769) (← links)
• Optimization of black-box problems using Smolyak grids and polynomial approximations (Q1668801) (← links)
• Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety (Q1695538) (← links)
• Setting targets for surrogate-based optimization (Q1942023) (← links)
• Machine learning materials physics: surrogate optimization and multi-fidelity algorithms predict precipitate morphology in an alternative to phase field dynamics (Q1986728) (← links)
• Machine-learning in optimization of expensive black-box functions (Q2012143) (← links)
• Black-box combinatorial optimization using models with integer-valued minima (Q2043440) (← links)
• Modelling human active search in optimizing black-box functions (Q2156913) (← links)
• Quantifying uncertainty with ensembles of surrogates for blackbox optimization (Q2162525) (← links)
• Mathematical programming formulations for piecewise polynomial functions (Q2182855) (← links)
• A surrogate-based cooperative optimization framework for computationally expensive black-box problems (Q2218881) (← links)
• Engineering design applications of surrogate-assisted optimization techniques (Q2254199) (← links)
• Optimization of expensive black-box problems via gradient-enhanced Kriging (Q2310272) (← links)
• Surrogate-based distributed optimisation for expensive black-box functions (Q2663899) (← links)
• Particle swarm metaheuristics for robust optimisation with implementation uncertainty (Q2664325) (← links)
• Automatic generation of algorithms for robust optimisation problems using grammar-guided genetic programming (Q2668793) (← links)
• High-dimensional black-box optimization under uncertainty (Q2669612) (← links)
• The challenge of optimizing expensive black boxes: a scatter search/rough set theory approach (Q3582633) (← links)
• (Q5153450) (← links)
• Derivative-free optimization methods (Q5230522) (← links)
• Survey on Bayesian optimization methodology and applications (Q5381980) (← links)
• A surrogate management framework using rigorous trust-region steps (Q5746682) (← links)
• An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems (Q5882392) (← links)
• An Adaptive Sampling and Domain Learning Strategy for Multivariate Function Approximation on Unknown Domains (Q5886856) (← links)
• Systematic reviews as a metaknowledge tool: caveats and a review of available options (Q6056869) (← links)
• From fitness landscapes evolution to automatic local search algorithm generation (Q6082174) (← links)
• Rotorcraft low-noise trajectories design: black-box optimization using surrogates (Q6088531) (← links)
• A unified analysis of stochastic gradient‐free Frank–Wolfe methods (Q6092499) (← links)
• Derivative-free mixed binary necklace optimization for cyclic-symmetry optimal design problems (Q6159484) (← links)
• \texttt{GLISp-r}: a preference-based optimization algorithm with convergence guarantees (Q6166660) (← links)
• A novel and fully automated coordinate system transformation scheme for near optimal surrogate construction (Q6185195) (← links)
• Optimization of expensive black-box problems with penalized expected improvement (Q6663338) (← links)