Ant colony optimization based simultaneous task allocation and path planning of autonomous vehicles

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Kulatunga, AK
dc.contributor.author Liu, DK
dc.contributor.author Dissanayake, G
dc.contributor.author Siyambalapitiya, SB
dc.date.accessioned 2009-11-09T05:36:07Z
dc.date.issued 2006
dc.identifier.citation 2006 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2006, 2006
dc.identifier.isbn 1424400236
dc.identifier.isbn 9781424400232
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2654
dc.description.abstract This paper applies a meta-heuristic based Ant Colony Optimization (ACO) technique for simultaneous task allocation and path planning of Automated Guided Vehicles (AGV) in material handling. ACO algorithm allocates tasks to AGVs based on collision free path obtained by a proposed path and motion planning algorithm. The validity of this approach is investigated by applying it to different task and AGV combinations which have different initial settings. For small combinations, i.e. small number of tasks and vehicles, the quality of the ACO solution is compared against the optimal results obtained from exhaustive search mechanism. This approach has shown near optimal results. For larger combinations, ACO solutions are compared with Simulated Annealing algorithm which is another commonly used meta-heuristic approach. The results show that ACO solutions have slightly better performance than that of Simulated Annealing algorithm. © 2006 IEEE.
dc.publisher IEEE Computer Society
dc.title Ant colony optimization based simultaneous task allocation and path planning of autonomous vehicles
dc.type Conference Proceeding
dc.parent 2006 IEEE Conference on Cybernetics and Intelligent Systems, CIS 2006
dc.journal.number en_US
dc.publocation Bangkok, Thailand en_US
dc.identifier.startpage 823 en_US
dc.identifier.endpage 828 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference IEEE International Conference on Cybernetics and Intelligent Systems
dc.conference.location Bangkok, Thailand en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 000350
dc.personcode 011224
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE International Conference on Cybernetics and Intelligent Systems en_US
dc.date.activity 20060607 en_US
dc.date.activity 2006-06-07
dc.location.activity Bangkok, Thailand en_US
dc.description.keywords Ant colony, optimization, task allocation, path planning, autonomous vehicles en_US
dc.description.keywords Ant colony optimization
dc.description.keywords Autonomous vehicles
dc.description.keywords Path planning
dc.description.keywords Task allocation
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


Files in this item

This item appears in the following Collection(s)

Show simple item record