Adaptive rules in emergent logistics (ARIEL): an agent-based analysis environment to study adaptive route-finding in changing road-networks

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dc.contributor.advisorPaulo, Eugene
dc.contributor.advisorHiles, John
dc.contributor.authorOrichel,Thomas
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentModeling, Virtual Environments and Simulation (MOVES) Curriculum Committee
dc.contributor.departmentComputer Science (CS)
dc.dateJune 2003
dc.date.accessioned2012-03-14T17:30:01Z
dc.date.available2012-03-14T17:30:01Z
dc.date.issued2003-06
dc.description.abstractThe delivery of supply in combat operations is very important and often results in success or failure of a mission. This activity, as well as other transportation problems, has traditionally been modeled using global optimization techniques, such as linear programming. However, the goal of this thesis is to examine the feasibility of an agent-based solution to study the movement of material through a road network. The requirement is to build an agent-based system that finds the optimal route through a given road network and is capable of adapting to disruptions introduced to the network and then find alternative routes through the network. The agents act from a local perspective, and can represent more realistically the decisions being made throughout the delivery process. This thesis implements an analysis environment for road networks and develops an agent-based model to build truck-driver agents that are capable of delivering supplies through a changing road network.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceCaptain, German Armyen_US
dc.description.urihttp://archive.org/details/adaptiverulesine10945940
dc.format.extentxii, 53 p. : ill. (some col.)en_US
dc.identifier.urihttps://hdl.handle.net/10945/940
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owneren_US
dc.subject.authorComplex adaptive systemsen_US
dc.subject.authorAgent-based modelingen_US
dc.subject.authorMulti-agent ayatemsen_US
dc.subject.authorOptimizationen_US
dc.subject.authorNetwork-routingen_US
dc.subject.lcshTransportation, Militaryen_US
dc.subject.lcshUnited Statesen_US
dc.subject.lcshLogisticsen_US
dc.subject.lcshAdaptive computing systemsen_US
dc.titleAdaptive rules in emergent logistics (ARIEL): an agent-based analysis environment to study adaptive route-finding in changing road-networksen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulation Institute (MOVES)en_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S. in Modeling, Virtual Environments and Simulation (MOVES)en_US
etd.thesisdegree.nameM.S. in Computer Scienceen_US
etd.verifiednoen_US
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