SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS

SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS

Ph.D

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Bibliographic Details
Main Author: LIU LIMENG
Other Authors: INDUSTRIAL SYSTEMS ENGINEERING & MGT
Format: Theses and Dissertations
Language:English
Published: 2021
Subjects:
global optimization, surrogate model, radial basis function, expensive function, mixed-integer optimization, multi-objective optimization
Online Access:https://scholarbank.nus.edu.sg/handle/10635/185960
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/185960

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