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

• 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
• Institution: National University of Singapore

10.1007/s11081-020-09556-1