HAWKS

作品数：43被引量：32H指数：3
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相关作者：褚庆昕侯方丽姚青赵丹夏卫华更多>>
相关机构：华南理工大学西安外国语大学成都理工大学安徽大学更多>>
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相关基金：国家自然科学基金中国航空科学基金更多>>
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Multi-Neighborhood Enhanced Harris Hawks Optimization for Efficient Allocation of Hybrid Renewable Energy System with Cost and Emission Reduction
《Computer Modeling in Engineering & Sciences》2025年第4期1185-1214,共30页Elaine Yi-Ling Wu 
Hybrid renewable energy systems(HRES)offer cost-effectiveness,low-emission power solutions,and reduced dependence on fossil fuels.However,the renewable energy allocation problem remains challenging due to complex syst...
关键词：Hybrid renewable energy system multi-neighborhood enhanced Harris Hawks optimization costemission optimization renewable energy allocation problem reliability 
An Improved Chaotic Quantum Multi-Objective Harris Hawks Optimization Algorithm for Emergency Centers Site Selection Decision Problem
《Computers, Materials & Continua》2025年第2期2177-2198,共22页Yuting Zhu Wenyu Zhang Hainan Wang Junjie Hou Haining Wang Meng Wang 
Addressing the complex issue of emergency resource distribution center site selection in uncertain environments, this study was conducted to comprehensively consider factors such as uncertainty parameters and the urge...
关键词：Site selection triangular fuzzy theory chaotic quantum Harris Hawks optimization multi-objective optimization 
Improved Harris Hawks Algorithm and Its Application in Feature Selection
《Computers, Materials & Continua》2024年第10期1251-1273,共23页Qianqian Zhang Yingmei Li Jianjun Zhan Shan Chen 
supported by the National Natural Science Foundation of China(grant number 62073330);constituted a segment of a project associated with the School of Computer Science and Information Engineering at Harbin Normal University。
This research focuses on improving the Harris’Hawks Optimization algorithm(HHO)by tackling several of its shortcomings,including insufficient population diversity,an imbalance in exploration vs.exploitation,and a lac...
关键词：HHO IHHO population diversity energy factor update strategy deep exploitation strategy feature selection 
Correction to“Multiplayer Reach–Avoid Differential Games in 3D Space Inspired by Harris’Hawks’Cooperative Hunting Tactics”
《Research》2024年第3期801-801,共1页Wanying Ruan Haibin Duan Yongbin Sun Wanmai Yuan Jie Xia 
In the Research Article“Multiplayer Reach–Avoid Differential Games in 3D Space Inspired by Harris’Hawks’Cooperative Hunting Tactics”[1],the publisher made an error.Several equation typos were not corrected during...
关键词：process. assigned corrected 
Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol
《Tsinghua Science and Technology》2024年第4期985-1001,共17页N.Meenakshi Sultan Ahmad A.V.Prabu J.Nageswara Rao Nashwan Adnan Othman Hikmat A.M.Abdeljaber R.Sekar Jabeen Nazeer 
supported via funding from Prince Sattam Bin Abdulaziz University(No.PSAU/2023/R/1444).
The Wireless Sensor Network(WSN)is a network that is constructed in regions that are inaccessible to human beings.The widespread deployment of wireless micro sensors will make it possible to conduct accurate environme...
关键词：wireless sensor networks energy efficient engroove leach protocol meta inspired Hawks fragment optimization heuristic wing antfly optimization 
Remaining useful life prediction for train bearing based on an ILSTM network with adaptive hyperparameter optimization
《Transportation Safety and Environment》2024年第2期75-86,共12页Deqiang He Jingren Yan Zhenzhen Jin Xueyan Zou Sheng Shan Zaiyu Xiang Jian Miao 
supported by the National Natural Science Foundation of China(Grant No.U22A2053);Major Science and Technology Project of Guangxi Province of China(Grant No.Guike AB23075209);Guangxi Manufacturing Systems and Advanced Manufacturing Technology Key Laboratory Director Fund(Grant No.21-050-44-S015);Innovation Project of Guangxi Graduate Education(Grant No.YCSW2023086).
Remaining useful life(RUL)prediction for bearing is a significant part of the maintenance of urban rail transit trains.Bearing RUL is closely linked to the reliability and safety of train running,but the current predi...
关键词：train bearing remaining useful life prediction long short-term memory(LSTM) attention mechanism Harris Hawks op-timization(HHO) 
Multiplayer Reach-Avoid Differential Games in 3D Space Inspired by Harris'Hawks'Cooperative Hunting Tactics
《Research》2024年第2期41-54,共14页Wanying Ruan Haibin Duan Yongbin Sun Wanmai Yuan Jie Xia 
supported by Science and Technology Innovation 2030-Key Project of"New Generation Artificial Intelligence"under grant#2018AAA0100803 and National Natural Science Foundation of China under grants#U20B2071,#91948204,#T2121003,#U1913602,and#62103040.
This paper investigates a multiplayer reach-avoid differential game in 3-dimensional(3D)space,which involves multiple pursuers,multiple evaders,and a designated target region.The evaders aim to reach the target region...
关键词：holds satisfy RENDERING 
Enhancing Cancer Classification through a Hybrid Bio-Inspired Evolutionary Algorithm for Biomarker Gene Selection被引量：1
《Computers, Materials & Continua》2024年第4期675-694,共20页Hala AlShamlan Halah AlMazrua 
the Deputyship for Research and Innovation,“Ministry of Education”in Saudi Arabia for funding this research(IFKSUOR3-014-3).
In this study,our aim is to address the problem of gene selection by proposing a hybrid bio-inspired evolutionary algorithm that combines Grey Wolf Optimization(GWO)with Harris Hawks Optimization(HHO)for feature selec...
关键词：Bio-inspired algorithms BIOINFORMATICS cancer classification evolutionary algorithm feature selection gene expression grey wolf optimizer harris hawks optimization k-nearest neighbor support vector machine 
Bayesian Classifier Based on Robust Kernel Density Estimation and Harris Hawks Optimisation
《International Journal of Internet and Distributed Systems》2024年第1期1-23,共23页Bi Iritie A-D Boli Chenghao Wei 
In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning method, rely on accurate pr...
关键词：CLASSIFICATION Robust Kernel Density Estimation M-ESTIMATION Harris Hawks Optimisation Algorithm Complete Cross-Validation 
Harris Hawks Algorithm Incorporating Tuna Swarm Algorithm and Differential Variance Strategy
《Wuhan University Journal of Natural Sciences》2023年第6期461-473,共13页XU Xiaohan YANG Haima ZHENG Heqing LI Jun LIU Jin ZHANG Dawei HUANG Hongxin 
Supported by Key Laboratory of Space Active Opto-Electronics Technology of Chinese Academy of Sciences(2021ZDKF4);Shanghai Science and Technology Innovation Action Plan(21S31904200,22S31903700)。
Because of the low convergence accuracy of the basic Harris Hawks algorithm,which quickly falls into the local optimal,a Harris Hawks algorithm combining tuna swarm algorithm and differential mutation strategy(TDHHO)i...
关键词：Harris Hawks optimization nonlinear periodic energy decreases differential mutation strategy wireless sensor networks(WSN)coverage optimization results 
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