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PRIORITIZING AND SCHEDULING INTERRELATED ROAD PROJECTS USING METAHEURISTIC ALGORITHMS

dc.contributor.advisorschonfeld, paul men_US
dc.contributor.authorShayanfar, Elhamen_US
dc.date.accessioned2015-09-18T05:40:12Z
dc.date.available2015-09-18T05:40:12Z
dc.date.issued2015en_US
dc.identifierhttps://doi.org/10.13016/M24M1G
dc.identifier.urihttp://hdl.handle.net/1903/16954
dc.description.abstractProjects are considered interrelated when their benefits or costs depend on which other projects are implemented. Selection and scheduling of interrelated projects is a challenging optimization problem which has applications in various fields including economics, operations research, business, management and transportation. The goal is to determine which projects should be selected and when they should be funded in order to minimize the total system cost over a planning horizon subject to a budget constraint. The budget is supplied by both external and internal sources from fuel tax revenues. This study then applies three meta-heuristic algorithms including a Genetic Algorithm (GA), Simulated Annealing (SA) and, Tabu Search (TS) in seeking efficient and consistent solutions to the selection and scheduling problem. These approaches are applied to a special case of link capacity expansion projects to showcase their functionality and compare their performance in terms of solution quality, computation time and consistency.en_US
dc.language.isoenen_US
dc.titlePRIORITIZING AND SCHEDULING INTERRELATED ROAD PROJECTS USING METAHEURISTIC ALGORITHMSen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentCivil Engineeringen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pquncontrolledinfrastructure improvementen_US
dc.subject.pquncontrolledmetaheuristicsen_US
dc.subject.pquncontrolledplanningen_US
dc.subject.pquncontrolledprioritizingen_US
dc.subject.pquncontrolledproject evaluationen_US


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