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A Comparative study of Hyper-Parameter Optimization Tools [PDF]
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2021 Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its utility for model performance is highly dependent on the choice of hyperparameters.
Shashank Shekhar +2 more
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Evolutionary Algorithms for Parameter Optimization—Thirty Years Later
Evolutionary Computation, 2023 Thirty years, 1993–2023, is a huge time frame in science. We address some major developments in the field of evolutionary algorithms, with applications in parameter optimization, over these 30 years.
Thomas Bäck +9 more
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A Novel Multi-Objective Process Parameter Interval Optimization Method for Steel Production
Metals, 2021 Customized small batch orders and sustainable development requirements pose challenges for product quality control and manufacturing process optimization for steel production.
Yifan Yan, Zhimin Lv
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MPT Tool: A Parameter Extraction Tool for Accurate Modeling of Magnetic Tunnel Junction Devices
IEEE Journal of the Electron Devices Society, 2022 Until now, many models of magnetic tunnel junction (MTJ) devices have been reported in the literatures, which are very helpful for behavior simulations in spintronic circuit design and simulation.
Manman Wang, Yanfeng Jiang
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An Overview of Technological Parameter Optimization in the Case of Laser Cladding
Coatings, 2023 This review examines the methods used to optimize the process parameters of laser cladding, including traditional optimization algorithms such as single-factor, regression analysis, response surface, and Taguchi, as well as intelligent system ...
Kaiming Wang +10 more
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Parameter optimization of 7-wires strand process
RMUTL Engineering Journal, 2023 The objective of this research is to study the optimal conditions of mechanical properties on 7-wires strand, to comply customer’s need of mechanical properties conditions respectively; the yield load > 234.6 kN, the breaking load > 261 kN and the ...
Supat Silaloy +2 more
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Process parameter optimization of metal additive manufacturing: a review and outlook
Journal of Materials Informatics, 2022 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 the past decade, research efforts have been devoted to identifying
Hou Yi Chia +3 more
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ParAMS: Parameter Optimization for Atomistic and Molecular Simulations [PDF]
Journal of Chemical Information and Modeling, 2021 This work introduces ParAMS-a versatile Python package that aims to make parametrization workflows in computational chemistry and physics more accessible, transparent, and reproducible. We demonstrate how ParAMS facilitates the parameter optimization for
Leonid Komissarov +3 more
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Sequential Parameter Optimization [PDF]
2005 IEEE Congress on Evolutionary Computation, 2005 Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate its flexibility, three scenarios are discussed: (1) no experience how to choose the parameter setting of an algorithm is available, (2) a comparison with other algorithms is needed ...
Thomas Bartz-Beielstein +2 more
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Federated learning with hyper-parameter optimization
Journal of King Saud University: Computer and Information Sciences, 2023 Federated Learning is a new approach for distributed training of a deep learning model on data scattered across a large number of clients while ensuring data privacy.
Majid Kundroo, Taehong Kim
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