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dc.contributor.advisorWood, R.K.
dc.contributor.authorLee, Steve H. K.
dc.dateSeptember 1995
dc.date.accessioned2013-08-13T22:06:51Z
dc.date.available2013-08-13T22:06:51Z
dc.date.issued1995-09
dc.identifier.urihttps://hdl.handle.net/10945/35160
dc.description.abstractA model is designed and implemented to construct a 'flyable,' least- risk route for strike aircraft from takeoff to target, through enemy radars, in a defined area of operations. A network is fust constructed by discretizing the airspace into a three-dimensional grid of nodes and then connecting adjacent nodes with arcs. A shortest-path model in this network is then constructed with arc lengths that are a function of the probability of detection by radars monitoring the area of operations. A side constraint on fuel consumption ensures that routes are feasible. Lagrangian relaxation is used to incorporate this constraint into the problem and a shortest-path algorithm solves a sequence of shortest-path sub-problems to obtain a near-optimal route. AROMA (Automatic Route Optimization Model for Aircraft) is implemented in C++ on a Silicon Graphics Onyx computer with 192 megabytes of memory. Test problems comprising 240,000 nodes and more than 2 million arcs are used to evaluate the model. Realistic routes are generated in approximately 2 to 3 minutes. A graphical interface displays the routes and facilitates interactive analysis and model evaluation.en_US
dc.description.urihttp://archive.org/details/routeoptimizatio1094535160
dc.format.extent70 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleRoute optimization model for strike aircraften_US
dc.typeThesisen_US
dc.contributor.departmentOperations Research
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceRepublic of Singapore Air Force author.en_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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