Parallel memetic algorithms for solving large scale combinatorial optimization problems

Although significant development of heuristics for various combinatorial optimization problems has been achieved, the extremely expensive computational overhead to tackle large scale problems is still a challenge in its own right. The solution of these problems requires both improvement in mathemati...

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Bibliographic Details
Main Author:	Tang, Jing
Other Authors:	Lim Meng Hiot
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	https://hdl.handle.net/10356/3496
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3496
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spelling	sg-ntu-dr.10356-34962023-07-04T16:56:12Z Parallel memetic algorithms for solving large scale combinatorial optimization problems Tang, Jing Lim Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Although significant development of heuristics for various combinatorial optimization problems has been achieved, the extremely expensive computational overhead to tackle large scale problems is still a challenge in its own right. The solution of these problems requires both improvement in mathematical programming algorithms and the utilization of powerful computational platforms. The studies in this dissertation concentrated on memetic algorithms (MAs), a combination of efficient neighborhood search strategies and evolutionary algorithms. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:31:03Z 2008-09-17T09:31:03Z 2008 2008 Thesis Tang, J. (2008). Parallel memetic algorithms for solving large scale combinatorial optimization problems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3496 10.32657/10356/3496 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::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Tang, Jing Parallel memetic algorithms for solving large scale combinatorial optimization problems
description	Although significant development of heuristics for various combinatorial optimization problems has been achieved, the extremely expensive computational overhead to tackle large scale problems is still a challenge in its own right. The solution of these problems requires both improvement in mathematical programming algorithms and the utilization of powerful computational platforms. The studies in this dissertation concentrated on memetic algorithms (MAs), a combination of efficient neighborhood search strategies and evolutionary algorithms.
author2	Lim Meng Hiot
author_facet	Lim Meng Hiot Tang, Jing
format	Theses and Dissertations
author	Tang, Jing
author_sort	Tang, Jing
title	Parallel memetic algorithms for solving large scale combinatorial optimization problems
title_short	Parallel memetic algorithms for solving large scale combinatorial optimization problems
title_full	Parallel memetic algorithms for solving large scale combinatorial optimization problems
title_fullStr	Parallel memetic algorithms for solving large scale combinatorial optimization problems
title_full_unstemmed	Parallel memetic algorithms for solving large scale combinatorial optimization problems
title_sort	parallel memetic algorithms for solving large scale combinatorial optimization problems
publishDate	2008
url	https://hdl.handle.net/10356/3496
_version_	1772826144090882048

Parallel memetic algorithms for solving large scale combinatorial optimization problems

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