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检索条件"主题词=Dwarf Mongoose Optimization Algorithm"
14 条 记 录,以下是11-20 订阅
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Energy and time-aware scheduling in diverse virtualized cloud computing environments using optimized self-attention progressive generative adversarial network
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NETWORK-COMPUTATION IN NEURAL SYSTEMS 2025年 第2期36卷 274-293页
作者: Senthilkumar, G. Anandamurugan, S. Kongu Engn Coll Dept Informat Technol Perundurai Tamil Nadu India Panimalar Engn Coll Dept Comp Sci & Engn Chennai 600123 Tamil Nadu India
The rapid growth of cloud computing has led to the widespread adoption of heterogeneous virtualized environments, offering scalable and flexible resources to meet diverse user demands. However, the increasing complexi... 详细信息
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Modified dwarf mongoose optimization Enabled Energy Aware Clustering Scheme for Cognitive Radio Wireless Sensor Networks
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Computer Systems Science & Engineering 2023年 第10期47卷 105-119页
作者: Sami Saeed Binyamin Mahmoud Ragab Computer and Information Technology Department The Applied CollegeKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia
Cognitive radio wireless sensor networks(CRWSN)can be defined as a promising technology for developing bandwidth-limited *** is widely utilized by future Internet of Things(IoT)*** a promising technology,Cognitive Rad... 详细信息
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Salp Swarm Incorporated Adaptive dwarf mongoose Optimizer with Lévy Flight and Gbest-Guided Strategy
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Journal of Bionic Engineering 2024年 第4期21卷 2110-2144页
作者: Gang Hu Yuxuan Guo Guanglei Sheng Department of Applied Mathematics Xi’an University of TechnologyXi’an710054People’s Republic of China School of Computer Science and Engineering Xi’an University of TechnologyXi’an710048People’s Republic of China Department of Electronics and Information Engineering Bozhou UniversityBozhou236800People’s Republic of China
In response to the shortcomings of dwarf mongoose optimization(DMO)algorithm,such as insufficient exploitation capability and slow convergence speed,this paper proposes a multi-strategy enhanced DMO,referred to as ***... 详细信息
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Comparison of improved relevance vector machines for streamflow predictions
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JOURNAL OF FORECASTING 2024年 第1期43卷 159-181页
作者: Adnan, Rana Muhammad Mostafa, Reham R. Dai, Hong-Liang Mansouri, Ehsan Kisi, Ozgur Zounemat-Kermani, Mohammad Guangzhou Univ Sch Econ & Stat Guangzhou 510006 Peoples R China Mansoura Univ Fac Comp & Informat Sci Dept Informat Syst Mansoura Egypt Birjand Univ Med Sci Dept Comp & Technol Birjand Iran Lubeck Univ Appl Sci Dept Civil Engn Lubeck Germany Ilia State Univ Sch Technol Dept Civil Engn GE-0162 Tbilisi Georgia Shahid Bahonar Univ Kerman Dept Water Engn Kerman Iran
This study investigates the feasibility of relevance vector machine tuned with dwarf mongoose optimization algorithm in modeling monthly streamflow. The proposed method is compared with relevance vector machines tuned... 详细信息
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