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Global optimization using nonparametric filled function method

Mathematicians believe some of the daily problem that we faced can be modeled into mathematical model. There are several unconstrained optimization methods which have been developed in order to solve those mathematical models. However, they often failed in locating the global solution of non-convex...

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Main Author: Goh Khang Wen
Format: Thesis
Language:English
Published: Fakulti Sains dan Teknologi 2011
Subjects:
QA 402.5 .G6 2009
Goh Khang Wen
Tesis FST 2009
Mathematical optimization
Online Access:http://hdl.handle.net/123456789/1000
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id my.umt.ir-1000
record_format eprints
spelling my.umt.ir-10002016-03-11T22:07:17Z Global optimization using nonparametric filled function method Goh Khang Wen QA 402.5 .G6 2009 Goh Khang Wen Tesis FST 2009 Mathematical optimization Mathematicians believe some of the daily problem that we faced can be modeled into mathematical model. There are several unconstrained optimization methods which have been developed in order to solve those mathematical models. However, they often failed in locating the global solution of non-convex optimization problems. Hence, the main purpose of this research is to improve the ability of the existing local deterministic method in solving unconstrained general deterministic global optimization problems. 2011-11-22T00:25:38Z 2011-11-22T00:25:38Z 2009 Thesis http://hdl.handle.net/123456789/1000 en ;QA 402.5 .G6 2009 application/pdf application/pdf Fakulti Sains dan Teknologi
institution Universiti Malaysia Terengganu
building Perpustakaan Sultanah Nur Zahirah
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Terengganu
content_source UMT-IR
url_provider http://umt-ir.umt.edu.my:8080/
language English
topic QA 402.5 .G6 2009
Goh Khang Wen
Tesis FST 2009
Mathematical optimization
spellingShingle QA 402.5 .G6 2009
Goh Khang Wen
Tesis FST 2009
Mathematical optimization
Goh Khang Wen
Global optimization using nonparametric filled function method
description Mathematicians believe some of the daily problem that we faced can be modeled into mathematical model. There are several unconstrained optimization methods which have been developed in order to solve those mathematical models. However, they often failed in locating the global solution of non-convex optimization problems. Hence, the main purpose of this research is to improve the ability of the existing local deterministic method in solving unconstrained general deterministic global optimization problems.
format Thesis
author Goh Khang Wen
author_facet Goh Khang Wen
author_sort Goh Khang Wen
title Global optimization using nonparametric filled function method
title_short Global optimization using nonparametric filled function method
title_full Global optimization using nonparametric filled function method
title_fullStr Global optimization using nonparametric filled function method
title_full_unstemmed Global optimization using nonparametric filled function method
title_sort global optimization using nonparametric filled function method
publisher Fakulti Sains dan Teknologi
publishDate 2011
url http://hdl.handle.net/123456789/1000
_version_ 1738395471614836736
score 13.214268

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