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Status - based routing in baggage handling systems : searching verses learning

Johnstone, Michael, Creighton, Doug and Nahavandi, Saeid 2010, Status - based routing in baggage handling systems : searching verses learning, IEEE transactions on systems, man and cybernetics, part c : applications and reviews, vol. 40, no. 2, pp. 189-200, doi: 10.1109/TSMCC.2009.2035519.

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Title Status - based routing in baggage handling systems : searching verses learning
Author(s) Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
Nahavandi, Saeid
Journal name IEEE transactions on systems, man and cybernetics, part c : applications and reviews
Volume number 40
Issue number 2
Start page 189
End page 200
Total pages 12
Publisher IEEE
Place of publication New York, N.Y.
Publication date 2010-03
ISSN 1094-6977
1558-2442
Keyword(s) airport operations
search methods
reinforcement learning (RL)
materials handling
Summary This study contributes to work in baggage handling system (BHS) control, specifically dynamic bag routing. Although studies in BHS agent-based control have examined the need for intelligent control, but there has not been an effort to explore the dynamic routing problem. As such, this study provides additional insight into how agents can learn to route in a BHS. This study describes a BHS status-based routing algorithm that applies learning methods to select criteria based on routing decisions. Although numerous studies have identified the need for dynamic routing, little analytic attention has been paid to intelligent agents for learning routing tables rather than manual creation of routing rules. We address this issue by demonstrating the ability of agents to learn how to route based on bag status, a robust method that is able to function in a variety of different BHS designs.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language eng
DOI 10.1109/TSMCC.2009.2035519
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
HERDC collection year 2010
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30025532

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
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Created: Mon, 22 Mar 2010, 13:43:07 EST by Michael Johnstone

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.