The　parallel　multidisciplinary　optimization　design　is　proposed　in　this　paper　to　improve　the　hydrodynamic　performance　of　underwater　vehicle.　An　isight　optimization　platform　is　constructed　in　which　the　optimal　Latin　hypercube　algorithm　is　selected　as　the　experimental　design　method,　and　the　RBF　neural　network　is　used　to　construct　the　approximate　model.　The　simulated　annealing　algorithm　is　taken　as　the　optimization　algorithm.　By　using　the　optimization　strategy　proposed,　the　drag　and　energy　consumption　are　significantly　reduced,　which　demonstrates　the　validity　of　the　proposed　optimization　method.