Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2486
Title: A study on meta-heuristics algorithms for solving the intelligent turret assembly system
Authors: Tan, Hock Woo
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Issue Date: 2008
Source: Tan, H. W. (2008). A study on meta-heuristics algorithms for solving the intelligent turret assembly system. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/2486
DOI: 10.32657/10356/2486
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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