A New Selection Procedure For Large Scale Problems

This thesis considers the problem of selecting the stochastic system that has the best (maximum or minimum) expected performance measure when the number of alternatives is finite but large. Ranking and selection procedures have been used successfully for solving problems with small number of alterna...

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Main Author:	Almomani, Mohammad Hani
Format:	Thesis
Language:	English
Published:	2012
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/42045/1/MOHAMMAD_HANI_ALMOMANI.pdf
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id	my-usm-ep.42045
record_format	uketd_dc
spelling	my-usm-ep.420452019-04-12T05:26:21Z A New Selection Procedure For Large Scale Problems 2012-04 Almomani, Mohammad Hani QA1-939 Mathematics This thesis considers the problem of selecting the stochastic system that has the best (maximum or minimum) expected performance measure when the number of alternatives is finite but large. Ranking and selection procedures have been used successfully for solving problems with small number of alternatives. In order to reduce the computational problem, the idea of ordinal optimization is being used with the objective of finding a good enough system instead of looking for the best system. In this thesis, a new selection approach is proposed for selecting a good system when the number of alternatives is very large. 2012-04 Thesis http://eprints.usm.my/42045/ http://eprints.usm.my/42045/1/MOHAMMAD_HANI_ALMOMANI.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1-939 Mathematics
spellingShingle	QA1-939 Mathematics Almomani, Mohammad Hani A New Selection Procedure For Large Scale Problems
description	This thesis considers the problem of selecting the stochastic system that has the best (maximum or minimum) expected performance measure when the number of alternatives is finite but large. Ranking and selection procedures have been used successfully for solving problems with small number of alternatives. In order to reduce the computational problem, the idea of ordinal optimization is being used with the objective of finding a good enough system instead of looking for the best system. In this thesis, a new selection approach is proposed for selecting a good system when the number of alternatives is very large.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Almomani, Mohammad Hani
author_facet	Almomani, Mohammad Hani
author_sort	Almomani, Mohammad Hani
title	A New Selection Procedure For Large Scale Problems
title_short	A New Selection Procedure For Large Scale Problems
title_full	A New Selection Procedure For Large Scale Problems
title_fullStr	A New Selection Procedure For Large Scale Problems
title_full_unstemmed	A New Selection Procedure For Large Scale Problems
title_sort	new selection procedure for large scale problems
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2012
url	http://eprints.usm.my/42045/1/MOHAMMAD_HANI_ALMOMANI.pdf
_version_	1747821018142998528

A New Selection Procedure For Large Scale Problems

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