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Titlebook: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri; Edmondo Minisci,Massimiliano Vasile,

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樓主: PLY
41#
發(fā)表于 2025-3-28 16:32:04 | 只看該作者
Periodensystem der Elemente (PSE),amic solution. Results show that, thanks to the combined usage of surrogate models and smart training, optimal candidates may be located in the design space even with limited computational resources with respect to standard global optimization approaches.
42#
發(fā)表于 2025-3-28 22:30:57 | 只看該作者
Der Kohlenstoff und seine Verbindungen, of Expected Improvement function to enhance the performance of the optimization process. A comparison between a pure genetic optimization and a Weighted Expected Improvement approach is proposed. Efficiency and quality of the obtained results are discussed.
43#
發(fā)表于 2025-3-28 23:50:30 | 只看該作者
44#
發(fā)表于 2025-3-29 04:02:50 | 只看該作者
Checkpointing with Time Gaps for Unsteady Adjoint CFD978-3-662-35362-2
45#
發(fā)表于 2025-3-29 11:03:35 | 只看該作者
46#
發(fā)表于 2025-3-29 11:37:39 | 只看該作者
Aerodynamic Optimization of Car Shapes Using the Continuous Adjoint Method and an RBF Morpher978-3-662-35382-0
47#
發(fā)表于 2025-3-29 19:24:20 | 只看該作者
48#
發(fā)表于 2025-3-29 19:59:59 | 只看該作者
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineeri
49#
發(fā)表于 2025-3-30 00:26:07 | 只看該作者
Der Kohlenstoff und seine Verbindungen, is based on the use of Support Vector Machines (SVMs) as the surrogate model for estimating the objective function, in combination with an Evolutionary Algorithm (EA) and an adaptive sampling technique focused on optimization, called the Intelligent Estimation Search with Sequential Learning (IES-S
50#
發(fā)表于 2025-3-30 06:21:51 | 只看該作者
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