Ant colony approach to intelligent auto-recovery in manufacturing

In this thesis, a path-finding algorithm for self-recovery of MHS in manufacturing is developed based on the Ant Colony System (ACS) algorithm. ACS is an algrithm in which a set of artificial ants, also called agents, cooperates to find a solution of a problem by exchanging pheromone information.

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Bibliographic Details
Main Author:	Aung Sann Win
Other Authors:	Suganthan, Ponnuthurai Nagaratnam
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/4469
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4469
record_format	dspace
spelling	sg-ntu-dr.10356-44692023-07-04T15:15:13Z Ant colony approach to intelligent auto-recovery in manufacturing Aung Sann Win Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this thesis, a path-finding algorithm for self-recovery of MHS in manufacturing is developed based on the Ant Colony System (ACS) algorithm. ACS is an algrithm in which a set of artificial ants, also called agents, cooperates to find a solution of a problem by exchanging pheromone information. Master of Science (Computer Control and Automation) 2008-09-17T09:52:09Z 2008-09-17T09:52:09Z 2005 2005 Thesis http://hdl.handle.net/10356/4469 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 Aung Sann Win Ant colony approach to intelligent auto-recovery in manufacturing
description	In this thesis, a path-finding algorithm for self-recovery of MHS in manufacturing is developed based on the Ant Colony System (ACS) algorithm. ACS is an algrithm in which a set of artificial ants, also called agents, cooperates to find a solution of a problem by exchanging pheromone information.
author2	Suganthan, Ponnuthurai Nagaratnam
author_facet	Suganthan, Ponnuthurai Nagaratnam Aung Sann Win
format	Theses and Dissertations
author	Aung Sann Win
author_sort	Aung Sann Win
title	Ant colony approach to intelligent auto-recovery in manufacturing
title_short	Ant colony approach to intelligent auto-recovery in manufacturing
title_full	Ant colony approach to intelligent auto-recovery in manufacturing
title_fullStr	Ant colony approach to intelligent auto-recovery in manufacturing
title_full_unstemmed	Ant colony approach to intelligent auto-recovery in manufacturing
title_sort	ant colony approach to intelligent auto-recovery in manufacturing
publishDate	2008
url	http://hdl.handle.net/10356/4469
_version_	1772826656452378624

Ant colony approach to intelligent auto-recovery in manufacturing

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