HULL SHAPE OPTIMIZATION OF SMALL UNDERWATER VEHICLE BASED ON KRIGING-BASED RESPONSE SURFACE METHOD AND MULTI-OBJECTIVE OPTIMIZATION ALGORITHM

Small underwater vehicles have unique advantages in ocean exploration. The resistance and volume of a vehicle are key factors affecting its operation time underwater. This paper aims to develop an effective method obtain the optimal hull shape small using Kriging-based response surface (RSM) multi-objective optimization algorithm. Firstly, hydrodynamic performance is numerically investigated computational fluid dynamics (CFD) value range related design variables determined. mesh convergence verified ensure accuracy calculation results. Then, by means Latin hypercube sampling (LHS) simulation, RSM model developed according relation between each variable output parameters applied vehicle. Based on model, determined Screening MOGA. As results, reduces increases obviously.