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检索条件"主题词=Swarm intelligence optimization algorithm"
49 条 记 录,以下是21-30 订阅
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Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-26页
作者: Meng, Guanglei Cong, Zelin Li, Tingting Wang, Chenguang Zhou, Mingzhe Wang, Biao Shenyang Aerosp Univ Sch Automat Shenyang 110136 Peoples R China Aviat Sci & Technol Key Lab Air Combat Syst Techno Shenyang 110136 Peoples R China
With the rapid development of artificial intelligence and data science, Dynamic Bayesian Network (DBN), as an effective probabilistic graphical model, has been widely used in many engineering fields. And swarm intelli... 详细信息
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A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-30页
作者: Wang, Shuxin Yue, Yinggao Cai, Shaotang Li, Xiaojuan Chen, Changzu Zhao, Hongliang Li, Tiejun Shanghai Zhongqiao Vocat & Tech Univ Sch Intelligent Mfg Shanghai 201514 Peoples R China Wenzhou Univ Technol Sch Intelligent Mfg & Elect Engn Wenzhou 325035 Peoples R China State Grid Chongqing Elect Power Co Informat & Commun Branch Chongqing 400014 Peoples R China Zhejiang Carspa New Energy LTD Wenzhou 325035 Peoples R China
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-ESS) play an important role in improving energy efficiency, ensuring grid stability and promoting energy transition. As an import... 详细信息
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Development of a hybrid VRF system energy consumption prediction model based on data partitioning and swarm intelligence algorithm
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JOURNAL OF BUILDING ENGINEERING 2023年 74卷
作者: He, Yuxuan Gong, Qijian Zhou, Zhenxin Chen, Huanxin Huazhong Univ Sci & Technol Dept Refrigerat & Cryogen Wuhan Peoples R China Huazhong Univ Sci & Technol Sch Energy & Power Engn Dept Refrigerat & Cryogen Engn Wuhan Peoples R China
Accurately forecasting energy consumption is beneficial and pivotal for effectively managing variable refrigerant flow (VRF) systems. Changes in energy consumption provide an intuitive representation of the operating ... 详细信息
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Development of a hybrid artificial intelligence model to predict the uniaxial compressive strength of a new aseismic layer made of rubber-sand concrete
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MECHANICS OF ADVANCED MATERIALS AND STRUCTURES 2023年 第11期30卷 2185-2202页
作者: Mei, Xiancheng Li, Chuanqi Sheng, Qian Cui, Zhen Zhou, Jian Dias, Daniel Chinese Acad Sci Inst Rock & Soil Mech Wuhan 430071 Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Grenoble Alpes Univ Lab 3SR CNRS UMR 5521 Grenoble France Cent South Univ Sch Resources & Safety Engn Changsha Peoples R China Hefei Univ Technol Sch Automot & Transportat Engn Hefei Peoples R China
This study, proposes the use of a novel rubber-sand concrete (RSC) material, which comprises rubber particles, sand, and cement, as an aseismic material in practical engineering construction. The uniaxial compressive ... 详细信息
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A hybrid Aquila optimizer and its K-means clustering optimization
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TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2023年 第3期45卷 557-572页
作者: Huang, Cheng Huang, Jinglin Jia, Youquan Xu, Jiazhong Harbin Univ Sci & Technol Dept Automat Harbin 150001 Peoples R China
Aiming at the defects of the Aquila optimizer (AO) in dealing with some complex optimization problems, such as slow convergence speed, low convergence accuracy, and easy to fall into local optimum, in this paper, a hy... 详细信息
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FineAP: Fine-Grained Access Point Deployment Strategy for 60 GHz Millimeter-Wave Wireless Networks
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IEEE COMMUNICATIONS LETTERS 2023年 第1期27卷 381-385页
作者: Yang, Yi Zhou, Anfu Ma, Huadong Henan Univ Anim Husb & Econ Sch Informat Engn Zhengzhou 450045 Peoples R China Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing 100876 Peoples R China
Traditional access point (AP) deployment is based on the principle of minimum area coverage, which takes the AP signal range as the radius and performs a geometric calculation to determine the deployment location. The... 详细信息
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Thermal Properties Reconstruction and Temperature Fields in Asphalt Pavements: Inverse Problem and Optimisation algorithms
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Fluid Dynamics & Materials Processing 2023年 第6期19卷 1693-1708页
作者: Zhonghai Jiang Qian Wang Liangbing Zhou Chun Xiao School of Transportation and Civil Architecture Foshan UniversityFoshan528000China Guangdong Yuanshun Architectural Design Co. Ltd.Foshan528000China Eternal Estate Engineering Design Co. Ltd.Chengdu610017China
A two-layer implicit difference scheme is employed in the present study to determine the temperature distribution in an asphalt *** calculation of each layer only needs four iterations to achieve ***,in order to impro... 详细信息
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Tourism combination forecasting with swarm intelligence
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ANNALS OF TOURISM RESEARCH 2025年 111卷
作者: Li, Hengyun Guo, Honggang Wang, Jianzhou Wang, Yong Wu, Chunying Hong Kong Polytech Univ Sch Hotel & Tourism Management Hong Kong Peoples R China Dongbei Univ Finance & Econ Sch Data Sci & Artificial Intelligence Dalian Peoples R China Dongbei Univ Finance & Econ Sch Stat Dalian Peoples R China Shandong Univ Finance & Econ Sch Management Sci & Engn Jinan Shandong Peoples R China
Combination forecasting is an effective method for improving the accuracy of tourism demand. This study proposes an innovative combination strategy based on a multi-objective swarm intelligence optimization algorithm ... 详细信息
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An Improved Hippopotamus optimization algorithm Utilizing swarm-Elite Learning Mechanism's Levy Flight and Quadratic Interpolation Operators for Optimal Parameters Extraction in Photovoltaic Models  1
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20th International Conference on Intelligent Computing (ICIC)
作者: Wang, Wentao Tian, Jun Nankai Univ Coll Software Tianjin 300350 Peoples R China
Photovoltaic (PV) systems are among the representatives of renewable energy technologies, and their performance is influenced by parameter configurations. This paper utilizes the swarm-elite learning mechanism's L... 详细信息
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A multi-strategy fusion dung beetle optimization algorithm  24
A multi-strategy fusion dung beetle optimization algorithm
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5th International Conference on Computing, Networks and Internet of Things (CNIOT)
作者: Li, Yihang Lv, Zhimin Univ Sci & Technol Beijing Collaborat Innovat Ctr Steel Technol Beijing Peoples R China
A recently developed swarm intelligence method that converges more quickly than some existing algorithms is called the dung beetle optimization algorithm (DBO). However, the algorithm still suffers from the disadvanta... 详细信息
来源: 评论