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检索条件"主题词=Whale optimization Algorithm"
1218 条 记 录,以下是21-30 订阅
排序:
Optimized Multi-User Dependent Tasks Offloading in Edge-Cloud Computing Using Refined whale optimization algorithm
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
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IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING 2024年 第1期9卷 14-30页
作者: Hosny, Khalid M. Awad, Ahmed I. Khashaba, Marwa M. Fouda, Mostafa M. Guizani, Mohsen Mohamed, Ehab R. Zagazig Univ Fac Comp & Informat Dept Informat Technol Zagazig 44519 Egypt Idaho State Univ Dept Elect & Comp Engn Pocatello ID 83209 USA Mohamed Bin Zayed Univ Artificial Intelligence MBZ Machine Learning Dept Masdar City Abu Dhabi U Arab Emirates Zagazig Univ Dept Informat Technol Zagazig 44519 Egypt
Despite the extensive use of IoT and mobile devices in the different applications, their computing power, memory, and battery life are still limited. Multi-Access Edge Computing (MEC) has recently emerged to address t... 详细信息
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Multi-trial Vector-based whale optimization algorithm
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Journal of Bionic Engineering 2024年 第3期21卷 1465-1495页
作者: Mohammad H.Nadimi-Shahraki Hajar Farhanginasab Shokooh Taghian Ali Safaa Sadiq Seyedali Mirjalili Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad***Iran Department of Computer Science Nottingham Trent UniversityNottinghamNG118NSUK Centre for Artificial Intelligence Research and Optimisation Torrens UniversityBrisbane4006Australia
The whale optimization algorithm(WOA)is a swarm intelligence metaheuristic inspired by the bubble-net hunting tactic of humpback *** spite of its popularity due to simplicity,ease of implementation,and a limited numbe... 详细信息
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Improving the energy performance of vortex pump based on whale optimization algorithm
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ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS 2025年 第1期19卷
作者: Zhou, Peijian Wen, Zaipeng Wang, Yang Wu, Yanzhao Wu, Denghao Huang, Renfang Yao, Zhifeng China Jiliang Univ Coll Metrol Measurement & Instrument Hangzhou Peoples R China China Agr Univ Coll Water Resources & Civil Engn Beijing 100083 Peoples R China Chinese Acad Sci Inst Mech Key Lab Mech Fluid Solid Coupling Syst Beijing Peoples R China
This study introduced a multi-objective optimization framework for vortex pumps, utilizing the whale optimization algorithm (WOA) and Gaussian process regression (GPR) to enhance energy performance under various opera... 详细信息
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Multi-Strategy Hybrid whale optimization algorithm Improvement
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APPLIED SCIENCES-BASEL 2025年 第4期15卷 2224-2224页
作者: Xie, Xie Yang, Yulin Zhou, Huan Shenyang Univ Key Lab Mfg Ind & Integrated Automat Shenyang 110044 Peoples R China
The whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm developed by Mirjalili and Lewis in 2016 based on the foraging behavior of whales. Because of its simplicity and high efficiency, s... 详细信息
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Routing in Wireless Sensor Networks Using Clustering Through Combining whale optimization algorithm and Genetic algorithm
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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2025年 第3期38卷
作者: Zhao, Guoliang Meng, Xianmeng Yancheng Polytech Coll Sch Intelligent Mfg Yancheng Jiangsu Peoples R China Hefei Univ Technol Sch Comp Sci & Informat Engn Hefei Anhui Peoples R China
The development of numerous wireless sensor network (WSN) applications has sparked considerable interest in the use of these networks across various fields. These networks, which do not require infrastructure and are ... 详细信息
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Neural network sliding mode control of multi-agent systems based on a preview mechanism and whale optimization algorithm
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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2025年 第5期239卷 823-840页
作者: Chen, Yuxin Ren, Junchao Northeastern Univ Coll Sci 3-11 Wenhua Rd Shenyang 110819 Liaoniong Peoples R China
In this work, a neural network sliding mode control (SMC) scheme is proposed to address the tracking issue of discrete-time multi-agent systems (MASs) with unknown nonlinearities by combining the preview mechanism and... 详细信息
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An improved whale optimization algorithm for multi-robot path planning
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ENGINEERING optimization 2024年 第6期57卷
作者: Shao, Yijun Zhu, Liangkuan Su, Chunyu Wang, Jingyu Northeast Forestry Univ Sch Comp & Control Engn Harbin Peoples R China Northeast Forestry Univ Sch Mech & Elect Engn Harbin Peoples R China
Multi-robot path planning is challenging and has increasingly attracted attention with its widespread applications. This article proposes an improved whale optimization algorithm (WOA) with Refracted opposition-based ... 详细信息
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A Nonlinear Adaptive Weight-Based Mutated whale optimization algorithm and Its Application for Solving Engineering Problems
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IEEE ACCESS 2024年 12卷 40225-40254页
作者: Wang, Zhi Li, Yayun Wu, Lei Guo, Qiang SINOPEC Petr Engn Corp Dongying 257000 Peoples R China China Univ Petr Sch Petr Engn Qingdao 266580 Peoples R China
whale optimization algorithm (WOA) is a swarm-based optimization algorithm with exceptional performance and significant originality. In this study, a novel variant of WOA called nonlinear adaptive weight-based mutated... 详细信息
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MCWOA Scheduler:Modified Chimp-whale optimization algorithm for Task Scheduling in Cloud Computing
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Computers, Materials & Continua 2024年 第2期78卷 2593-2616页
作者: Chirag Chandrashekar Pradeep Krishnadoss Vijayakumar Kedalu Poornachary Balasundaram Ananthakrishnan School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Center for Cyber Physical Systems School of Computer Science and EngineeringVellore Institute of TechnologyChennai600127India
Cloud computing provides a diverse and adaptable resource pool over the internet,allowing users to tap into various resources as *** has been seen as a robust solution to relevant challenges.A significant delay can ha... 详细信息
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A federated learning model with the whale optimization algorithm for renewable energy prediction
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COMPUTERS & ELECTRICAL ENGINEERING 2025年 123卷
作者: Chifu, Viorica Rozina Cioara, Tudor Anitei, Cristian Daniel Pop, Cristina Bianca Anghel, Ionut Toderean, Liana Tech Univ Cluj Napoca Comp Sci Dept Memorandumului 28 Cluj Napoca 400114 Romania
Federated prediction models for energy prosumers create a global model by combining insights from local machine learning models trained on-site without centralizing the data. For time series energy data, this collabor... 详细信息
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