A sco** review on simulation-based design optimization in marine engineering: trends, best practices, and gaps
This sco** review assesses the current use of simulation-based design optimization
(SBDO) in marine engineering, focusing on identifying research trends, methodologies, and …
(SBDO) in marine engineering, focusing on identifying research trends, methodologies, and …
Multi-fidelity Co-Kriging surrogate model for ship hull form optimization
For the simulation-based hull form optimization design, there are many methods to evaluate
the hydrodynamic performance of the hull form. Although the high fidelity of the surrogate …
the hydrodynamic performance of the hull form. Although the high fidelity of the surrogate …
Applications of multi-fidelity multi-output Kriging to engineering design optimization
DJJ Toal - Structural and Multidisciplinary Optimization, 2023 - Springer
Surrogate modelling is a popular approach for reducing the number of high fidelity
simulations required within an engineering design optimization. Multi-fidelity surrogate …
simulations required within an engineering design optimization. Multi-fidelity surrogate …
Hull-form stochastic optimization via computational-cost reduction methods
The paper shows how cost-reduction methods can be synergistically combined to enable
high-fidelity hull-form optimization under stochastic conditions. Specifically, a multi-objective …
high-fidelity hull-form optimization under stochastic conditions. Specifically, a multi-objective …
Dynamic of a planing hull in regular waves: Comparison of experimental, numerical and mathematical methods
The unsteady planing motion in waves is a complicated problem, that can lead to
uncomfortable riding situation and structural damages due to large wave-induced dynamic …
uncomfortable riding situation and structural damages due to large wave-induced dynamic …
Machine learning-aided design optimization of a mechanical micromixer
In real-life mechanical engineering applications, it is often complex to achieve an optimal
multi-objective design, because of the costs related to fabrication and test of different …
multi-objective design, because of the costs related to fabrication and test of different …
On kernel functions for bi-fidelity Gaussian process regressions
This paper investigates the impact of kernel functions on the accuracy of bi-fidelity Gaussian
process regressions (GPR) for engineering applications. The potential of composite kernel …
process regressions (GPR) for engineering applications. The potential of composite kernel …
Comparison of multi-fidelity approaches for military vehicle design
This paper overviews the efforts of a technical team within the NATO Applied Vehicle
Technology Panel to apply multi-fidelity methods to vehicle design. The objectives of the …
Technology Panel to apply multi-fidelity methods to vehicle design. The objectives of the …
Multi-fidelity data-driven design and analysis of reactor and tube simulations
Optimizing complex reactor geometries is vital to promote enhanced efficiency. We present a
framework to solve this nonlinear, computationally expensive, and derivative-free problem …
framework to solve this nonlinear, computationally expensive, and derivative-free problem …
A multi-fidelity active learning method for global design optimization problems with noisy evaluations
A multi-fidelity (MF) active learning method is presented for design optimization problems
characterized by noisy evaluations of the performance metrics. Namely, a generalized MF …
characterized by noisy evaluations of the performance metrics. Namely, a generalized MF …