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This document discusses the development of an artificial intelligence-aided design (AIAD) methodology for optimizing the hull form of unmanned underwater vehicles (UUVs) to minimize energy consumption during operation. The proposed methodology combines deep learning algorithms with particle swarm optimization to predict UUV resistance under varying conditions, resulting in an 8.8% reduction in energy consumption compared to traditional designs. The research highlights the potential of AIAD to streamline UUV

Author

yasitha

Language

EN