Multidisciplinary and multiobjective design optimization of an unmanned combat aerial vehicle (UCAV)

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2009
Çavuş, Nesrin
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.

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Citation Formats
N. Çavuş, “Multidisciplinary and multiobjective design optimization of an unmanned combat aerial vehicle (UCAV),” M.S. - Master of Science, Middle East Technical University, 2009.