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

Thumbnail
View/Open
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
Collections
https://doi.org/10.32657/10356/2486
Get published version (via Digital Object Identifier)