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

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spelling	sg-nus-scholar.10635-1859602023-04-01T18:00:25Z SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS LIU LIMENG INDUSTRIAL SYSTEMS ENGINEERING & MGT Christine Annette Shoemaker global optimization, surrogate model, radial basis function, expensive function, mixed-integer optimization, multi-objective optimization Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2021-01-29T18:00:22Z 2021-01-29T18:00:22Z 2020-08-04 Thesis LIU LIMENG (2020-08-04). SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/185960 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	global optimization, surrogate model, radial basis function, expensive function, mixed-integer optimization, multi-objective optimization
spellingShingle	global optimization, surrogate model, radial basis function, expensive function, mixed-integer optimization, multi-objective optimization LIU LIMENG SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
description	Ph.D
author2	INDUSTRIAL SYSTEMS ENGINEERING & MGT
author_facet	INDUSTRIAL SYSTEMS ENGINEERING & MGT LIU LIMENG
format	Theses and Dissertations
author	LIU LIMENG
author_sort	LIU LIMENG
title	SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
title_short	SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
title_full	SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
title_fullStr	SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
title_full_unstemmed	SURROGATE BASED GLOBAL OPTIMIZATION OF COMPUTATIONALLY EXPENSIVE PROBLEMS: ALGORITHM DESIGN, CONVERGENCE ANALYSIS AND APPLICATIONS
title_sort	surrogate based global optimization of computationally expensive problems: algorithm design, convergence analysis and applications
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/185960
_version_	1762031066818805760

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

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