MDO
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A Machine Learning Enabled MDO for Bio-Inspired Autonomous Underwater Gliders
arXiv:2602.08508v2 Announce Type: replace Abstract: The preliminary design of AUGs is intrinsically challenging due to the strong coupling between the external hydrodynamic shape, the hydrostatic balance, the structural integrity, and internal packaging constraints. This complexity is further amplified for bio-inspired configurations, whose rich geometric parametrizations lead to high-dimensional design spaces that are difficult to explore using conventional optimization approaches. This...