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dc.contributor.advisorGordis, Joshua
dc.contributor.advisorAbdel-Hamid, Tarek K.
dc.contributor.authorMargonis, Sotirios
dc.dateMar-14
dc.date.accessioned2014-05-23T15:19:34Z
dc.date.available2014-05-23T15:19:34Z
dc.date.issued2014-03
dc.identifier.urihttp://hdl.handle.net/10945/41415
dc.description.abstractThe aim of this work is to explore the applicability and usability of multi-objective optimization into various aspects of the design of an autonomous underwater vehicle (AUV). First, I begin with an introduction of the systems engineering design process and the background work for the multi-objective optimization process. Furthermore, I investigate and analyze the existing multi-objective optimization methods in decision making. I focus on various design aspects of an AUV such as the hull design, the weight distribution, the propulsion and, especially, the power supply technology. The objectives I used in the model are the minimization of the power needed to propel the vehicle and the maximization of both the weight of the energy section and the total range. Implementation of both the model and the optimization are carried out using Matlab, particularly the global optimization toolbox and the multi-objective genetic algorithm solver, whereas a special case of two objectives is implemented in Excel using Visual Basic and Excel solver. This research also explores the potential for a designer to use goals in the multi-objective optimization as well as approaches that let a designer choose one particular solution once all Pareto optimal solutions are found.en_US
dc.description.urihttp://archive.org/details/preliminarydesig1094541415
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.titlePreliminary design of an autonomous underwater vehicle using multi-objective optimizationen_US
dc.typeThesisen_US
dc.contributor.secondreaderPapoulias, Fotis
dc.contributor.departmentInformation Sciences (IS)
dc.subject.authorAutonomous Underwater Vehicleen_US
dc.subject.authorAUVen_US
dc.subject.authorMulti-objective Optimizationen_US
dc.subject.authorGenetic Algorithmsen_US
dc.subject.authorNSGAen_US
dc.subject.authorParetoen_US
dc.subject.authorEvolutionary Algorithmsen_US
dc.subject.authorDesignen_US
dc.subject.authorOptimizationen_US
dc.subject.authorSolveren_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceLieutenant Commander, Hellenic Navyen_US
etd.thesisdegree.nameMaster of Science in Mechanical Engineeringen_US
etd.thesisdegree.nameMaster of Science in information Technology Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Sciencesen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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