Results 221 to 230 of about 74,863 (268)
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Optimization Method for Multisensor Detection Based on Improved Gray Wolf Algorithm and Virtual Force Strategy

IEEE Sensors Journal
In marine environment investigation and target detection, the deployment scheme for multiple detection nodes directly determines the coverage and information acquisition effectiveness of the detection area.
Shizhe Wang   +4 more
semanticscholar   +1 more source

Performance optimization of joint permanent magnet synchronous motor based on improved gray wolf algorithm

Robotica (Cambridge. Print)
Permanent magnet synchronous motors (PMSMs) are the preferred choice for robot joint drives. Non-singular fast terminal sliding mode control (NFTSMC) can significantly enhance the robustness and control performance of PMSMs.
Xiaofeng Zhu   +3 more
semanticscholar   +1 more source

Improved Gray Wolf Optimization (GWO) Algorithm for Path Planning

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE), 2022
Yongsheng Guan, Ye Yuan, Feng Yang
openaire   +1 more source

Improved DV-Hop algorithm combining chaotic map and Gray Wolf algorithm

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ), 2022
Fang Xianbao   +3 more
openaire   +1 more source

Parameter Identification of J-A Modified Model of Fe-Based Amorphous Nanocrystalline Magnetic Materials Based on Improved Gray Wolf Algorithm

2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE)
For iron-based amorphous nanocrystalline magnetic materials, the shoulder area of the hysteresis loop is obviously different from materials such as silicon steel. The traditional J-A model has a poor fit for the shoulder region of the hysteresis loop. At
Zeqing Qu   +5 more
semanticscholar   +1 more source

Improved Gray Wolf Algorithm Based on African Vulture Multi-Strategy and Its Application in Channel Estimation

電腦學刊
The Grey Wolf Optimizer (GWO) is known for its simple structure, easy implementation, and few control parameters, but it has problems such as slow convergence, local optimization of capture, and late reduction of population diversity.
Ji-Hua Chai Ji-Hua Chai   +4 more
semanticscholar   +1 more source

Improved gray wolf optimization algorithm based on a nonlinear convergence factor

Proceedings of the 2023 4th International Conference on Computer Science and Management Technology, 2023
Zongxin He, Shipin Yang
openaire   +1 more source

A Discrete Improved Gray Wolf Optimization Algorithm for Dynamic Distributed Flexible Job Shop Scheduling Considering Random Job Arrivals and Machine Breakdowns

Processes
Dueto uncertainties in real-world production, dynamic factors have become increasingly critical in the research of distributed flexible job shop scheduling problems.
Chun Wang   +3 more
semanticscholar   +1 more source

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