Parallel global optimization with deterministic approaches

Global optimization is important both in theory and practical applications. The objectives of this thesis are two-fold. The first one is to construct methods which aim to reduce the effort to solve global optimization problems. The second objective is to investigate suitable parallel models to speed...

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Bibliographic Details
Main Author:	Wu, Yong
Other Authors:	Linet Ozdamar
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Mechanical engineering::Kinematics and dynamics of machinery
Online Access:	https://hdl.handle.net/10356/5264
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-52642023-03-11T18:07:04Z Parallel global optimization with deterministic approaches Wu, Yong Linet Ozdamar Arun Kumar School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Kinematics and dynamics of machinery Global optimization is important both in theory and practical applications. The objectives of this thesis are two-fold. The first one is to construct methods which aim to reduce the effort to solve global optimization problems. The second objective is to investigate suitable parallel models to speed up the computation. DOCTOR OF PHILOSOPHY (MAE) 2008-09-17T10:46:37Z 2008-09-17T10:46:37Z 2006 2006 Thesis Wu, Y. (2006). Parallel global optimization with deterministic approaches. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/5264 10.32657/10356/5264 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Mechanical engineering::Kinematics and dynamics of machinery
spellingShingle	DRNTU::Engineering::Mechanical engineering::Kinematics and dynamics of machinery Wu, Yong Parallel global optimization with deterministic approaches
description	Global optimization is important both in theory and practical applications. The objectives of this thesis are two-fold. The first one is to construct methods which aim to reduce the effort to solve global optimization problems. The second objective is to investigate suitable parallel models to speed up the computation.
author2	Linet Ozdamar
author_facet	Linet Ozdamar Wu, Yong
format	Theses and Dissertations
author	Wu, Yong
author_sort	Wu, Yong
title	Parallel global optimization with deterministic approaches
title_short	Parallel global optimization with deterministic approaches
title_full	Parallel global optimization with deterministic approaches
title_fullStr	Parallel global optimization with deterministic approaches
title_full_unstemmed	Parallel global optimization with deterministic approaches
title_sort	parallel global optimization with deterministic approaches
publishDate	2008
url	https://hdl.handle.net/10356/5264
_version_	1761781205905178624

Parallel global optimization with deterministic approaches

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