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Found 2 papers, 1 papers with code
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls
In this work, we leverage recent advances in optimization and artificial intelligence (AI) to explore both of these potential approaches, in the context of designing an optimal unmanned underwater vehicle (UUV) hull.
Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression
In a computer-aided engineering design optimization problem that involves notoriously complex and time-consuming simulator, the prevalent approach is to replace these simulations with a data-driven surrogate that approximates the simulator's behavior at a much cheaper cost.
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