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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/237284
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dc.titlePARTIAL RESTART STRATEGIES FOR GLOBAL OPTIMIZATION ALGORITHMS ON COMPUTATIONALLY EXPENSIVE PROBLEMS
dc.contributor.authorLIU NANXI
dc.date.accessioned2023-02-14T18:00:31Z
dc.date.available2023-02-14T18:00:31Z
dc.date.issued2022-08-06
dc.identifier.citationLIU NANXI (2022-08-06). PARTIAL RESTART STRATEGIES FOR GLOBAL OPTIMIZATION ALGORITHMS ON COMPUTATIONALLY EXPENSIVE PROBLEMS. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/237284
dc.language.isoen
dc.subjectSurrogate optimization, Restart strategies, Radial Basis Function, Global Optimization, Multi-modal function, black-box objective function
dc.typeThesis
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING & MGT
dc.contributor.supervisorChristine Annette Shoemaker
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (CDE-ENG)
dc.identifier.orcid0000-0003-2951-7196
Appears in Collections:Ph.D Theses (Closed)

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