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检索条件"主题词=Grey Wolf Optimization Algorithm"
158 条 记 录,以下是141-150 订阅
排序:
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
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KNOWLEDGE-BASED SYSTEMS 2021年 223卷 107044-107044页
作者: Seyyedabbasi, Amir Aliyev, Royal Kiani, Farzad Gulle, Murat Ugur Basyildiz, Hasan Shah, Mohammed Ahmed Beykent Univ Fac Engn & Architecture Dept Comp Engn Istanbul Turkey Istanbul Aydin Univ Fac Engn Dept Comp Engn Istanbul Turkey Istanbul Arel Univ Fac Engn & Architecture Dept Comp Engn Istanbul Turkey Istanbul Ayvansaray Univ Fac Engn Dept Comp Engn Istanbul Turkey Istinye Univ Fac Engn Software Engn Dept Istanbul Turkey
This paper introduces three hybrid algorithms that help in solving global optimization problems using reinforcement learning along with metaheuristic methods. Using the algorithms presented, the search agents try to f... 详细信息
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An Optimized Self-Compensated Solution for Temperature and Strain Cross-Sensitivity in FBG Interrogators Based on Edge Filter
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SENSORS 2021年 第17期21卷 5828-5828页
作者: Silveira, Mariana L. Rocha, Helder R. O. Antunes, Paulo F. C. Andre, Paulo S. B. Segatto, Marcelo E., V Frizera, Anselmo Diaz, Camilo A. R. Univ Fed Espirito Santo Elect Engn Dept Telecommun Lab LABTEL BR-29075910 Vitoria ES Brazil Univ Aveiro I3N P-3810193 Aveiro Portugal Univ Aveiro Phys Dept P-3810193 Aveiro Portugal Inst Telecomunicacoes Campus Univ Santiago P-3810193 Aveiro Portugal Univ Lisbon Inst Telecomunicacoes Inst Super Tecn Dept Elect & Comp Engn P-1049001 Lisbon Portugal
Optical fiber sensors based on fiber Bragg gratings (FBGs) are prone to measurement errors if the cross-sensitivity between temperature and strain is not properly considered. This paper describes a self-compensated te... 详细信息
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Guided joint spectrum sensing and resource allocation using a novel random walk grey wolf optimization for frequency hopping cognitive radio networks
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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2019年 第13期32卷 e4032-e4032页
作者: Karthikeyan, Anbalagan Srividhya, Venkatasubramanian Kundu, Souvik Vellore Inst Technol Sch Elect & Commun Engn Vellore Tamil Nadu India Vellore Inst Technol Vellore 632014 Tamil Nadu India
Effective use of unused licensed spectrum by secondary nodes without causing any harmful interference to the primary users is one of the challenging task, and in this paper, a detailed description of joint spectrum se... 详细信息
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Type recognition of partial discharge source based on PCA and GWO-SVM
Type recognition of partial discharge source based on PCA an...
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第33届中国控制与决策会议
作者: Li Li Chen Yuepeng Yang Guang Mao Cuimin Zhang Huajun Wuhan University of Technology School of Automation Hubei Electric Power Survey and Design Institute Co.LTD
As an important indication and manifestation of insulation failures in high-voltage equipment,the type identification of partial discharge(PD) is important for the assessment of the insulation state of electrical **... 详细信息
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Bearing Fault Prediction Based on Mixed Domain Features and GWO-SVM
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JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING 2024年 第1期2024卷
作者: Zhou, Xuan Xia, Ruiyang Zhang, Zhaodong Duan, Sasa Cheng, Mao Zhou, Chengjiang Mao, Min Yunnan Normal Univ Sch Informat Sci & Technol Kunming 650500 Peoples R China Quzhou Coll Technol Fac Informat Engn Quzhou 324000 Peoples R China
The rotating machinery is composed of rolling bearing connection, so the fault identification of rolling bearing is a very critical task. We propose a bearing fault identification algorithm based on grey wolf optimize... 详细信息
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Virtual power plant capacity tariff pricing method based on master–slave game
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International Journal of Electrical Power & Energy Systems 2025年 169卷
作者: Shaobo Yin Weiqing Sun Haibing Wang School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai 200093 China
The large-scale construction of virtual power plants (VPPs) is a crucial method for alleviating the tight supply–demand balance during peak periods, necessitating capacity tariff incentives to encourage their develop... 详细信息
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An adaptive deep transfer learning method for bearing fault diagnosis
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MEASUREMENT 2020年 151卷 107227-000页
作者: Wu, Zhenghong Jiang, Hongkai Zhao, Ke Li, Xingqiu Northwestern Polytech Univ Sch Aeronaut Xian 710072 Shaanxi Peoples R China
Bearing fault diagnosis has made some achievements based on massive labeled fault data. In practical engineering, machines are mostly in healthy and faults seldom happen, it's difficult or expensive to collect mas... 详细信息
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A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
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EXPERT SYSTEMS WITH APPLICATIONS 2020年 139卷 112824-000页
作者: Abdel-Basset, Mohamed El-Shahat, Doaa El-henawy, Ibrahim de Albuquerque, Victor Hugo C. Mirjalili, Seyedali Zagazig Univ Fac Comp & Informat Dept Operat Res Zagazig Egypt Zagazig Univ Fac Comp & Informat Comp Sci Dept Zagazig Egypt Univ Fortaleza Fortaleza Ceara Brazil Torrens Univ Australia 90 Bowen Terrace Fortitude Valley Qld 4006 Australia
Because of their high dimensionality, dealing with large datasets can hinder the data mining process. Thus, the feature selection is a pre-process mandatory phase for reducing the dimensionality of datasets through us... 详细信息
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Point Cloud Registration algorithm Based on the grey wolf Optimizer
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IEEE ACCESS 2020年 8卷 143375-143382页
作者: Feng, Yaqing Tang, Jialin Su, Binghua Su, Qinglang Zhou, Zhuang Beijing Inst Technol Opt Engn Zhuhai 519088 Peoples R China Beijing Inst Technol Minist Educ China Key Lab Photoelect Imaging Technol & Syst Zhuhai 519088 Peoples R China Beijing Inst Technol Fac Informat Technol Zhuhai 519088 Peoples R China Beijing Inst Technol Beijing 100081 Peoples R China City Univ Macau Res Inst Data Sci Macau Peoples R China
In view of the long computation time and low registration accuracy of the current point cloud registration algorithm, a point cloud registration algorithm based on the grey wolf optimizer (GWO) is proposed, denoted PC... 详细信息
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Improved grey wolf Optimizer and Their Applications  7
Improved Grey Wolf Optimizer and Their Applications
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7th IEEE International Conference on Computer Science and Network Technology (ICCSNT)
作者: Liang, Xu Wang, Di Huang, Ming Dalian Jiaotong Univ Dalian Peoples R China
grey wolf Optimizer is a kind of artificial intelligence optimization algorithm. Aiming at the problem of local optimum and low convergence accuracy of GWO, this paper uses reverse learning strategy to generate initia... 详细信息
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