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Flux Modulated Permanent Magnet Generator Optimization with Improved Gray Wolf Algorithm
2022 25th International Conference on Electrical Machines and Systems (ICEMS), 2022The flux-modulated permanent magnet generators have attracted a lot of attention because of their high performance. In order for the generator to achieve a balance of high torque density, high power density, and high efficiency to achieve the optimal ...
Hong-wei Fang, Shuxian Zha
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Improved Gray Wolf Algorithm for Scheduling Workflow in Cloud Computing Environment
2023 14th National Conference with International Participation (ELECTRONICA), 2023Cloud computing is a computing framework that aims to meet the increasing processing demands of users. To handle large amounts of data, cloud computing requires a method for scheduling tasks to resources.
Masoud Izadi +4 more
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Telematics task offloading based on improved gray wolf algorithm
2025 International Conference on Sensor-Cloud and Edge Computing System (SCECS)With the rapid development of Internet of Things (IoT) technology, the number of in-vehicle applications has significantly increased, and these applications have high requirements for real-time performance and computing power.
WeiLun Tan, Juan Li
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Research on Optimal Scheduling of Microgrid Based on Improved Gray Wolf Algorithm
2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC)In this paper, an operation decision model based on the improved Gray Wolf optimization algorithm is proposed for the optimization problem of energy storage allocation in independent and joint parks of microgrids. The model takes into account the storage
Hao Chang, Yuehan Zheng
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Optimized Machine Learning Traffic Flow Prediction Model Based on Improved Gray Wolf Algorithm
2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS), 2022Traffic congestion is an important issue facing the current automobile development, but with the continuous advancement of machine learning, models such as svm and bp neural networks are also used to design short-time traffic flow prediction models.
Y. Liu, Jun Wang
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An Improved Gray Wolf Algorithm for Radiation Near-Field Source Localization in Exact Model
IEEE Sensors Journal, 2023Spectral search algorithms are widely used in radiation near-field (RNF) source locations because of their high estimation accuracy, but they have disadvantages such as large computation and long running time.
Qi Zhang +4 more
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Fault Location of Active Distribution Network Based on Improved Gray Wolf Algorithm
2020 Chinese Automation Congress (CAC), 2020As the scale of the power grid continues to expand and a large number of distributed power sources are connected, the difficulty of locating faults is increasing. The gray wolf optimization algorithm is simple in principle, easy to implement and has good
Zheng Li, Xiao Zhang, Qiang Song, Na Wu
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Distributed Generation & Alternative Energy Journal, 2021 In order to improve the economical performance of distributed energy supply system under uncertainty, the improved gray wolf algorithm is constructed for optimal allocation of distributed energy supply system. The relating research progress is summarized
Xiao Xue, Yangbin Zheng, Chao Lu
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Adaptive multi-UAV path planning method based on improved gray wolf algorithm
Computers and Electrical Engineering, 2022Shi Jiaqi +4 more
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