A tabu search approach to the strategic airlift problem

dc.contributor.advisorBarnes, J. Wesley.en
dc.creatorLambert, Garrett Randallen
dc.date.accessioned2008-08-28T21:57:02Zen
dc.date.available2008-08-28T21:57:02Zen
dc.date.issued2004en
dc.descriptiontexten
dc.description.abstractAir Mobility Command (AMC) planners currently use simulation systems or large-scale linear programming (LP) models in studying the strategic airlift problem. Simulations are descriptive in nature and therefore cannot prescribe optimal flight schedules. Aggregation is used in large-scale LP models to make the problem tractable and thus much operational level detail is lost. AMC planners need a tool which prescribes good solutions while maintaining the operational level detail necessary to produce flight schedules. This research outlines a robust algorithm that obtains excellent solutions to the strategic airlift problem that possess the operational level detail necessary for AMC planners to develop the detailed routing and scheduling of strategic airlift aircraft. The algorithm utilizes the tabu search methodology.
dc.description.departmentOperations Research and Industrial Engineeringen
dc.format.mediumelectronicen
dc.identifierb59327662en
dc.identifier.oclc57894596en
dc.identifier.proqst3150917en
dc.identifier.urihttp://hdl.handle.net/2152/1349en
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshAirlift, Military--United Statesen
dc.subject.lcshMathematical optimizationen
dc.titleA tabu search approach to the strategic airlift problemen
dc.type.genreThesisen
thesis.degree.departmentOperations Research and Industrial Engineeringen
thesis.degree.disciplineOperations Research and Industrial Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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