Engineering Optimization · 2019 · 25 citations · 36 references
EngineeringMarine EngineeringOcean EngineeringComputational Fluid DynamicsDesign OptimizationOptimizationAerodynamic DesignComputational AerodynamicsShape OptimizationSurrogate ModelingSurrogate-assisted OptimizationSurrogate-based OptimizationAerodynamic Shape OptimizationInfill Criterion DesignLift-to-drag RatioPrediction Uncertainty QuantificationSurrogate Model ConstructionSurrogate-assisted Design OptimizationSurrogate-based Optimization Under UncertaintyUnderwater Glider Design
To deal with shape optimization for the blended-wing-body underwater glider (BWBUG), a multi-surrogate-based optimization method using high-dimensional model representation with a score-based infill criterion (MSIC-HDMR) is presented. In this algorithm, multiple surrogate models are constructed to alleviate the prediction uncertainty. A score-based infill criterion is proposed to obtain new samples and a reduced space is used to improve accuracy of the optimization results. Simultaneously, mean square errors of the individual surrogate models for infill points are calculated to determine which surrogate is suitable for the component terms. 20 numerical examples are used to verify the practicability of the proposed MSIC-HDMR, and the results show that the proposed algorithm has remarkable performance on all the test problems. Finally, the optimization method based on MSIC-HDMR is applied to shape optimization of the BWBUG, and the lift-to-drag ratio of the BWBUG is improved by 3.3009% with the proposed MSIC-HDMR.
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