Pages that link to "Item:Q651911"
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The following pages link to A metamodel-assisted evolutionary algorithm for expensive optimization (Q651911):
Displaying 7 items.
- Lipschitz gradients for global optimization in a one-point-based partitioning scheme (Q433950) (← links)
- Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems (Q2423810) (← links)
- Some modifications of low-dimensional simplex evolution and their convergence (Q4924104) (← links)
- A new metamodel-based method for solving semi-expensive simulation optimization problems (Q5373897) (← links)
- An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems (Q6071265) (← links)
- Sparse polynomial chaos expansion for universal stochastic kriging (Q6556730) (← links)
- Stochastic pix2vid: a new spatiotemporal deep learning method for image-to-video synthesis in geologic \(\mathrm{CO_2}\) storage prediction (Q6600805) (← links)
