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Multidisciplinary And Multiobjective Design Optimization Of An Unmanned Combat Aerial Vehicle (ucav)

The Multiple Cooling Multi-Objective Simulated Annealing Algorithm is used for
the conceptual design optimization of a supersonic Unmanned Combat Aerial
Vehicle (UCAV). Single and multiobjective optimization problems are addressed
while limiting performance requirements between desired bounds to obtain
viable aircraft configurations. A conceptual aircraft design code was prepared for
planned but flexible combat missions. The results demonstrate that the
optimization technique employed is an effective tool for the conceptual design of
aircrafts.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12610428/index.pdf
Date01 February 2009
CreatorsCavus, Nesrin
ContributorsTekinalp, Ozan
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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