This research investigated the problem of path planning in complex conveyor networks. A reinforcement learning approach was applied to derive a control strategy for routing traffic. The derived strategy was verified in real world systems and was found to improve network performance by prioritising traffic flows and balancing network load
Notes
Submitted to the Centre for Intelligent Systems Research of the Institute for Technology Research and Innovation, Deakin University
Thesis (Ph.D.)--Deakin University, Victoria, 2010
Bibliography
Includes bibliographical references (leaves 207-221)
