A study on meta-heuristics algorithms for solving the intelligent turret assembly system

The Intelligent Turret Assembly System (ITAS) is a modular, re-configurable assembly system with a small footprint. This thesis investigates the use of Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Ant Colony Optimisation (ACO) for finding optimal configuration for the ITAS....

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Bibliographic Details
Main Author:	Tan, Hock Woo
Other Authors:	Lee Keok Kee
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Online Access:	https://hdl.handle.net/10356/2486
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-24862023-03-04T00:39:29Z A study on meta-heuristics algorithms for solving the intelligent turret assembly system Tan, Hock Woo Lee Keok Kee School of Computer Engineering Tay Leng Phuan, Alex DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering The Intelligent Turret Assembly System (ITAS) is a modular, re-configurable assembly system with a small footprint. This thesis investigates the use of Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Ant Colony Optimisation (ACO) for finding optimal configuration for the ITAS. A hybrid GA-ACO algorithm which was found to out-perform other conventional methods was proposed. MASTER OF ENGINEERING (SCE) 2008-09-17T09:04:00Z 2008-09-17T09:04:00Z 2008 2008 Thesis Tan, H. W. (2008). A study on meta-heuristics algorithms for solving the intelligent turret assembly system. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2486 10.32657/10356/2486 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::Computer science and engineering::Computer applications::Physical sciences and engineering
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering Tan, Hock Woo A study on meta-heuristics algorithms for solving the intelligent turret assembly system
description	The Intelligent Turret Assembly System (ITAS) is a modular, re-configurable assembly system with a small footprint. This thesis investigates the use of Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Ant Colony Optimisation (ACO) for finding optimal configuration for the ITAS. A hybrid GA-ACO algorithm which was found to out-perform other conventional methods was proposed.
author2	Lee Keok Kee
author_facet	Lee Keok Kee Tan, Hock Woo
format	Theses and Dissertations
author	Tan, Hock Woo
author_sort	Tan, Hock Woo
title	A study on meta-heuristics algorithms for solving the intelligent turret assembly system
title_short	A study on meta-heuristics algorithms for solving the intelligent turret assembly system
title_full	A study on meta-heuristics algorithms for solving the intelligent turret assembly system
title_fullStr	A study on meta-heuristics algorithms for solving the intelligent turret assembly system
title_full_unstemmed	A study on meta-heuristics algorithms for solving the intelligent turret assembly system
title_sort	study on meta-heuristics algorithms for solving the intelligent turret assembly system
publishDate	2008
url	https://hdl.handle.net/10356/2486
_version_	1759858247754317824

A study on meta-heuristics algorithms for solving the intelligent turret assembly system

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