GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration (Q2069161)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration |
scientific article; zbMATH DE number 7460654
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration |
scientific article; zbMATH DE number 7460654 |
Statements
GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration (English)
0 references
20 January 2022
0 references
PDE-constrained optimization
0 references
surrogate models
0 references
parallel computing
0 references
water quality models
0 references
global optimization
0 references
multi-modal and black-box objective
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
