Due to its high efficiency, surrogate models have been extensively used in black-box-type
engineering optimization problems. However, due to the nature of black-box functions, it is …

Fitness functions of real-world optimization problems often need to be analyzed by
expensive experiments or numerical simulations. Integrating these expensive simulations or …

An efficient global optimization (EGO) algorithm has been used in the geometry design and
motion for a manta ray-like flap** wing to optimize the best swimming performance. To this …

Surrogate models are commonly used as a substitute for the computation-intensive
simulations in design optimization. However, building a high-accuracy surrogate model with …

To improve the efficiency of the multidisciplinary design optimization of underwater vehicles,
this paper proposes a combined proxy model with adaptive dynamic sampling. The radial …

Data-driven evolutionary algorithms (DDEAs) using surrogate models have been
successfully applied in solving expensive optimization problems. However, many real-world …

Reliability analysis and reliability-based design have attracted huge attention since their
origin, especially in the engineering design optimization field. Integrating a novel grid …

Underwater gravity gradient detection techniques are conducive to ensuring the safety of
submersible sailing. In order to improve the accuracy of underwater obstacle detection …

Surrogate models (SMs) are generally employed in expensive engineering optimization and
uncertainty quantification. At present, it is still one of the hot topics for researchers to …

To reduce thrust ripple and cost and improve the average thrust of permanent magnet linear
motors, a modular dual-field modulation permanent magnet linear motor was studied, and …