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

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Author
Tan, Hock Woo
Date of Issue
2008
School
School of Computer Engineering
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.
Subject
DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Type
Thesis
Rights
Nanyang Technological University
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