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dc.contributor.advisorPatrick Henry Winston.en_US
dc.contributor.authorLewis, Damon Marcus, 1977-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-08-23T21:16:59Z
dc.date.available2005-08-23T21:16:59Z
dc.date.copyright2000en_US
dc.date.issued2000en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/8561
dc.descriptionThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.en_US
dc.descriptionIncludes bibliographical references (p. 59).en_US
dc.description.abstractThis project is to solve the fleet scheduling problem for a large airline. This requires matching each fight in a schedule to a plane in the fleet that will fly the scheduled flight on a particular day. This thesis shows how to use the network flow model of a flight schedule in order to find the smallest fleet required to fly a schedule without dropping any flights. This is done by pruning the whole network to a smaller set of more relevant arcs. It is also the goal of the project to perform these tasks without requiring a large powerful computer or workstation.en_US
dc.description.statementofresponsibilityby Damon Marcus Lewis.en_US
dc.format.extent59 p.en_US
dc.format.extent3411285 bytes
dc.format.extent3411041 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleEvolving efficient airline schedulesen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc49094545en_US


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