A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
[HTML][HTML] A review and analysis of optimisation techniques applied to floating offshore wind platforms
The deployment of offshore wind in the UK has seen a rapid increase in the past decade
and will continue to increase with the securement of the recent Scotwind sites. Floating …
and will continue to increase with the securement of the recent Scotwind sites. Floating …
Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders
Due to the high computational cost of finite element analyses, particularly in optimization
tasks, establishing a high-fidelity surrogate model is of immense importance to engineers …
tasks, establishing a high-fidelity surrogate model is of immense importance to engineers …
Surrogate-assisted hierarchical particle swarm optimization
Meta-heuristic algorithms, which require a large number of fitness evaluations before
locating the global optimum, are often prevented from being applied to computationally …
locating the global optimum, are often prevented from being applied to computationally …
[图书][B] Surrogate-model-based design and optimization
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Machine learning-enabled globally guaranteed evolutionary computation
Evolutionary computation, for example, particle swarm optimization, has impressive
achievements in solving complex problems in science and industry; however, an important …
achievements in solving complex problems in science and industry; however, an important …
[HTML][HTML] Multidisciplinary design analysis and optimization of floating offshore wind turbine substructures: A review
The development of novel energy technologies to meet net zero carbon emission is
essential in the provision of solutions to realize an increasing worldwide demand for …
essential in the provision of solutions to realize an increasing worldwide demand for …
[HTML][HTML] Process parameter optimization of metal additive manufacturing: A review and outlook
The selection of appropriate process parameters is crucial in metal additive manufacturing
(AM) as it directly influences the defect formation and microstructure of the printed part. Over …
(AM) as it directly influences the defect formation and microstructure of the printed part. Over …
Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization
D Yang, Z Liu, J Zhou - … in Nonlinear Science and Numerical Simulation, 2014 - Elsevier
Chaos optimization algorithms (COAs) usually utilize the chaotic map like Logistic map to
generate the pseudo-random numbers mapped as the design variables for global …
generate the pseudo-random numbers mapped as the design variables for global …
Physics-assisted transfer learning metamodels to predict bead geometry and carbon emission in laser butt welding
Laser butt welding (LBW) with high quality is widely sought-after, but results in non-
negligible carbon emission (CE). However, predicting bead geometry and CE of LBW is …
negligible carbon emission (CE). However, predicting bead geometry and CE of LBW is …