Results 11 to 20 of about 37,147 (226)
Persian Named Entity Recognition by Gray Wolf Optimization Algorithm
Scientific Programming, 2022 Named entity recognition (NER) is a subfield of natural language processing (NLP). It is able to identify proper nouns, such as person names, locations, and organizations, and has been widely used in various tasks. NER can be practical in extracting information from social media data.
Aynaz Forouzandeh +2 more
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Using composite ranking to select the most appropriate Multi-Criteria Decision Making (MCDM) method in the optimal operation of the Dam reservoir [PDF]
Journal of Hydraulic Structures, 2020 In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs.
Alireza Donyaii +2 more
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Gong-kuang zidonghua, 2020 In order to solve the problem of low-carbon transportation scheduling in open-pit mines, the mathematical model is established by taking the mining volume, crushing volume of crushing stations and the number of trucks as constraints and taking the ...
MEN Fei, JIANG Xi
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Research on Optimization of GWO-BP Model for Cloud Server Load Prediction
IEEE Access, 2021 To improve the accuracy of cloud server resource load prediction, particle swarm optimization (PSO) algorithm, gray wolf optimization (GWO) algorithm and BP neural network are studied in-depth and applied.
Ke Hou +3 more
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Triangular Position Multi-Bolt Layout Structure Optimization
Applied Sciences, 2023 Stress concentration often occurs around bolt holes in load-bearing joint structures of large complex equipment, ships, aerospace and other complex machinery fields, which is an important mechanical factor leading to the failure of joint structures.
Xiaohan Lu +5 more
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Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning
Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2022 Abstract Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and premature convergence.
Zhiyong Luo +3 more
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Energy Reports, 2023 The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits.
Ping Li +4 more
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Journal of Engineered Fibers and Fabrics, 2022 Unevenness is one of the important parameters for evaluating yarn quality, but the current prediction accuracy of yarn unevenness is low. One of the important reasons is that there are few sample dataset for yarn unevenness prediction.
Hao Jiang +3 more
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Integrated Energy Scheduling Optimization Based on Improved Gray Wolf Algorithm
Journal of Physics: Conference Series, 2023 Abstract An integrated energy system contains a lot of distributed energy resources, and various energy sources complement each other, which greatly improves energy and has a significant advantage in energy conservation and emissions reduction.
Jiawei Shang +4 more
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Discrete Dynamics in Nature and Society, 2020 With the rapid development of intelligent transportation, intelligent algorithms and path planning have become effective methods to relieve traffic pressure.
Shijin Li, Fucai Wang
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