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

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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Summary: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.

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