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检索条件"主题词=Harris hawk optimization algorithm"
20 条 记 录,以下是1-10 订阅
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harris hawk optimization algorithm Based on Cauchy Distribution Inverse Cumulative Function and Tangent Flight Operator
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APPLIED INTELLIGENCE 2022年 第10期52卷 10999-11026页
作者: Wang, Min Wang, Jie-Sheng Li, Xu-Dong Zhang, Min Hao, Wen-Kuo Univ Sci & Technol Liaoning Sch Elect & Informat Engn Anshan 114044 Peoples R China
harris hawk optimization (HHO) algorithm is a new population-based and nature-inspired optimization paradigm, which has strong global search ability, but its diversified local search strategies easily make it fall int... 详细信息
来源: 评论
Improved task scheduling in heterogeneous distributed systems using intelligent greedy harris hawk optimization algorithm
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EVOLUTIONARY INTELLIGENCE 2024年 第5-6期17卷 4199-4226页
作者: Roudsari, Mohammad Navid Habibpour Islamic Azad Univ Dept Comp Engn Najafabad Branch Najafabad Iran
In the context of heterogeneous computer systems, the utilization of task scheduling algorithms is crucial for enhancing system performance. A major challenge in the development of efficient scheduling algorithms for ... 详细信息
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Adaptive Variable Universe Fuzzy Droop Control Based on a Novel Multi-Strategy harris hawk optimization algorithm for a Direct Current Microgrid with Hybrid Energy Storage
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ENERGIES 2024年 第21期17卷 5296页
作者: Wang, Chen Jiao, Shangbin Zhang, Youmin Wang, Xiaohui Li, Yujun Xian Univ Technol Shaanxi Key Lab Complex Syst Control & Intelligent Xian 710048 Peoples R China Concordia Univ Dept Mech Ind & Aerosp Engn Montreal PQ H3G 1M8 Canada Xian Thermal Power Res Inst Co Ltd Xian 710054 Peoples R China
In the off-grid photovoltaic DC microgrid, traditional droop control encounters challenges in effectively adjusting the droop coefficient in response to varying power fluctuation frequencies, which can be influenced b... 详细信息
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An Improved harris hawk optimization algorithm
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Mechanical Engineering Science 2024年 第1期6卷 21-25页
作者: GuangYa Chong Yongliang YUAN He’nan Polytechnic University JiaozuoHe’nan454150China
Aiming at the problems that the original harris hawk optimization algorithm is easy to fall into local optimum and slow in finding the optimum,this paper proposes an improved harris hawk optimization algorithm(GHHO).F... 详细信息
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An Improved Feature Selection algorithm for harris hawk optimization Based on Hybrid Strategy  6
An Improved Feature Selection Algorithm for Harris Hawk opti...
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6th International Conference on Robot Systems and Applications (ICRSA)
作者: Shi, Zhanyi Yi, Guohong Wuhan Inst Technol Hubei Key Lab Intelligent Robot Sch Comp Sci & Engn Wuhan 430205 Hubei Peoples R China
Feature selection is a popular issue in machine learning, which involves selecting the most effective features from the original features to reduce the dimensionality of the dataset. It is an important means to improv... 详细信息
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A deep hybrid prediction framework for building operational carbon emissions: Integrating enhanced extreme learning machines
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ENERGY REPORTS 2025年 13卷 4126-4140页
作者: Wang, Jingqi Tan, Yongguang Yu, Junqi Yu, Haifeng Wang, Meng Zhou, Meng Xian Univ Architecture & Technol Sch Bldg Serv Sci & Engn Xian 710055 Peoples R China Xian Univ Architecture & Technol Sch Informat & Control Engn Xian 710055 Peoples R China PipeChina Beijing Pipeline Co Ltd Beijing 100083 Peoples R China Xian Univ Architecture & Technol Sch Management Xian 710055 Peoples R China
To address the urgent need for reducing carbon emissions in the construction industry, this paper proposes a novel hybrid prediction model, MIV-IHHO-DELM, for forecasting carbon emissions from public building operatio... 详细信息
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Greedy mechanism-based bi-objective optimization for green scheduling in manufacturing systems considering transportation
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APPLIED SOFT COMPUTING 2025年 175卷
作者: Wang, Zhu Qiu, Rongping Zhou, Binghai Shanghai Maritime Univ Logist Engn Coll Shanghai 201306 Peoples R China Tongji Univ Inst Ind Engn Sch Mech Engn Shanghai 201804 Peoples R China
This paper addresses scheduling challenges in hybrid flow manufacturing systems with crane transportation (HFMS-CT) driven by intelligent control, mass customization, and eco-friendly manufacturing. Unlike previous st... 详细信息
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Classifying victim degree of injury in road traffic accidents: a novel stacked DCL-X approach
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MULTIMEDIA TOOLS AND APPLICATIONS 2024年 第25期83卷 66691-66723页
作者: Altaf, Insha Kaul, Ajay Univ Kashmir CSE Srinagar Jammu & Kashmir India Shri Mata Vaishno Devi Univ Katra India
Road Traffic Injuries are one of the world's leading cause of death, with greatest burden falling on nations with lower and moderate incomes. They are consistently ranked in top 10 leading causes of mortality worl... 详细信息
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Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved harris hawks optimization (IHHO) algorithm enhanced by deep learning
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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2024年 第7期27卷 8939-8963页
作者: Jafari, Zahra Navin, Ahmad Habibizad Zamanifar, Azadeh Islamic Azad Univ Dept Comp Engn Sci & Res Branch Tehran Iran Islamic Azad Univ Dept Comp Engn Tabriz Branch Tabriz Iran
Scheduling tasks is a pivotal and practical action within the fog and cloud layers. This study introduces a two-tier task scheduling approach with improved version of the harris hawk optimization algorithm to lower de... 详细信息
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Optimising SMIB system stability: FOPID controller tuning via harris hawks optimisation
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EVOLUTIONARY INTELLIGENCE 2025年 第1期18卷 1-19页
作者: Kirange, Yogesh Kalidas Nema, Pragya Oriental Univ Dept Elect & Elect Engn Indore Madhya Pradesh India
Current power system stabilizer designs, including fuzzy-PID and Lead-Lag compensators, need help with adaptability and complexity in diverse and evolving power system environments. Conventional tuning methods like th... 详细信息
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