GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration

GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration

10.1007/s11081-020-09556-1

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Bibliographic Details
Main Authors: Xia, Wei, Shoemaker, Christine
Other Authors: INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
Format: Article
Published: Springer 2022
Subjects:
Global optimization
Multi-modal and black-box objective
Parallel computing
PDE-constrained optimization
Surrogate models
Water quality models
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232578
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Institution: National University of Singapore

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https://scholarbank.nus.edu.sg/handle/10635/232578

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