Solving optimization problems in communications networks using computational intelligence

Computational intelligence is an effective method in solving combinatorial optimization problems. We proposed several new models of neural networks based on noisy and chaotic neural networks, by using these methods, NP-hard problems in communication networks (e.g., scheduling, routing, assignment et...

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Bibliographic Details
Main Author:	Shi, Haixiang
Other Authors:	Wang Lipo
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	https://hdl.handle.net/10356/3243
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3243
record_format	dspace
spelling	sg-ntu-dr.10356-32432023-07-04T17:10:34Z Solving optimization problems in communications networks using computational intelligence Shi, Haixiang Wang Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Computational intelligence is an effective method in solving combinatorial optimization problems. We proposed several new models of neural networks based on noisy and chaotic neural networks, by using these methods, NP-hard problems in communication networks (e.g., scheduling, routing, assignment etc.) can be solved in shorter time with better solution quality. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:25:24Z 2008-09-17T09:25:24Z 2006 2006 Thesis Shi, H. (2006). Solving optimization problems in communications networks using computational intelligence. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3243 10.32657/10356/3243 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 DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Shi, Haixiang Solving optimization problems in communications networks using computational intelligence
description	Computational intelligence is an effective method in solving combinatorial optimization problems. We proposed several new models of neural networks based on noisy and chaotic neural networks, by using these methods, NP-hard problems in communication networks (e.g., scheduling, routing, assignment etc.) can be solved in shorter time with better solution quality.
author2	Wang Lipo
author_facet	Wang Lipo Shi, Haixiang
format	Theses and Dissertations
author	Shi, Haixiang
author_sort	Shi, Haixiang
title	Solving optimization problems in communications networks using computational intelligence
title_short	Solving optimization problems in communications networks using computational intelligence
title_full	Solving optimization problems in communications networks using computational intelligence
title_fullStr	Solving optimization problems in communications networks using computational intelligence
title_full_unstemmed	Solving optimization problems in communications networks using computational intelligence
title_sort	solving optimization problems in communications networks using computational intelligence
publishDate	2008
url	https://hdl.handle.net/10356/3243
_version_	1772826497145372672

Solving optimization problems in communications networks using computational intelligence

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