Advanced UAV Design Optimization Through Deep Learning-Based Surrogate Models
Hasan Karali,
Gokhan Inalhan,
Antonios Tsourdos
Abstract:The conceptual design of unmanned aerial vehicles (UAVs) presents significant multidisciplinary challenges requiring the optimization of aerodynamic and structural performance, stealth, and propulsion efficiency. This work addresses these challenges by integrating deep neural networks with a multiobjective genetic algorithm to optimize UAV configurations. The proposed framework enables a comprehensive evaluation of design alternatives by estimating key performance metrics required for different operational req… Show more
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