SURROGATE-ASSISTED ALGORITHMS FOR COMPUTATIONALLY EXPENSIVE MULTI- AND MANY-OBJECTIVE GLOBAL OPTIMIZATION PROBLEMS

SURROGATE-ASSISTED ALGORITHMS FOR COMPUTATIONALLY EXPENSIVE MULTI- AND MANY-OBJECTIVE GLOBAL OPTIMIZATION PROBLEMS

Ph.D

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Bibliographic Details
Main Author: WANG WENYU
Other Authors: INDUSTRIAL SYSTEMS ENGINEERING & MGT
Format: Theses and Dissertations
Language:English
Published: 2022
Subjects:
Multi-Objective Optimization, Radial Basis Function, Expensive Objectives, Multi-Fidelity Optimization, Surrogate Modelling, Global Optimization
Online Access:https://scholarbank.nus.edu.sg/handle/10635/227213
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/227213

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