Results 21 to 30 of about 4,448,600 (255)
Optimum Design of Reinforced Cylindrical Shells Under Combined Axial Compression and Internal Pressure [PDF]
Journal of Mechanical Engineering, 2021 This paper discusses the use of the random search method for the optimal design of single-layered rib-reinforced cylindrical shells under combined axial compression and internal pressure with account taken of the elastic-plastic material behavior.
Heorhii V. Filatov
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Search for the smallest random forest [PDF]
Statistics and Its Interface, 2009 Random forests have emerged as one of the most commonly used nonparametric statistical methods in many scientific areas, particularly in analysis of high throughput genomic data. A general practice in using random forests is to generate a sufficiently large number of trees, although it is subjective as to how large is sufficient.
Heping, Zhang, Minghui, Wang
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Searching for nodes in random graphs [PDF]
Physical Review E, 2011 We consider the problem of searching for a node on a labelled random graph according to a greedy algorithm that selects a route to the desired node using metric information on the graph. Motivated by peer-to-peer networks two types of random graph are proposed with properties particularly amenable to this kind of algorithm.
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Time Series Forecasting of Motor Bearing Vibration Based on Informer
Sensors, 2022 Electric energy, as an economical and clean energy, plays a significant role in the development of science and technology and the economy. The motor is the core equipment of the power station; therefore, monitoring the motor vibration and predicting time
Zhengqiang Yang +3 more
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JOIV: International Journal on Informatics Visualization, 2023 Stock investing is known worldwide as a passive income available for everyone. To increase the profit possibly gained, many researchers and investors brainstorm to gain a strategy with the most profit.
Albertus Emilio Kurniajaya Gunawan +1 more
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Theory of Randomized Search Heuristics [PDF]
Algorithmica, 2012 Randomized search heuristics such as evolutionary algorithms, evolution strategies, ant colony optimizers etc. are optimization algorithms that can be applied to a wide class of problems ranging from combinatorial to continuous optimization. They are popular in practice because they are generally easy to implement, their application requires little ...
Anne Auger, Carsten Witt
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Towards large scale continuous EDA: a random matrix theory perspective [PDF]
, 2013 Estimation of distribution algorithms (EDA) are a major branch of evolutionary algorithms (EA) with some unique advantages in principle. They are able to take advantage of correlation structure to drive the search more efficiently, and they are able to ...
Kabán, Ata +5 more
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An Optimization Framework for Wind Farm Design in Complex Terrain
Applied Sciences, 2018 Designing wind farms in complex terrain is an important task, especially for countries with a large portion of complex terrain territory. To tackle this task, an optimization framework is developed in this study, which combines the solution from a wind ...
Ju Feng, Wen Zhong Shen, Ye Li
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Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search
Journal of Marine Science and Engineering, 2023 To deal with the uncertainties in modeling offshore wind turbines, we propose a parameter inversion method for the pile–soil interaction model based on structural health monitoring results and the numerical model.
Hou Qiao +4 more
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Hyperparameter space for random search.
, 2020 Hyperparameter space for random search.
Yoshihide Sekimoto (499186) +4 more
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