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BADGER: 作品数：44被引量：11H指数：2; 导出分析报告; 相关领域：化学工程文化科学更多>>; 相关作者：陈得荣王彦斌钟国华更多>>; 相关机构：大庆石油化工总厂华东师范大学中国人民解放军第一军医大学广州天泽鸿渐设计有限公司更多>>; 相关期刊：《Protection and Control of Modern Power Systems》《高桥石化》《Computer Systems Science & Engineering》《现代化工》更多>>; 相关基金：国家自然科学基金更多>>

Multi-strategy improved honey badger algorithm based on periodic mutation and t-distribution perturbation: 《High Technology Letters》2025年第1期63-72,共10页WU Jin SU Zhengdong TIAN Jinhang WEN Fei CHEN Wenfeng; Supported by the National Key Research and Development Program of China(No.2022ZD0119001)。; The honey badger algorithm(HBA),as a new swarm intelligence(SI)optimization algorithm,has shown certain effectiveness in its applications.Aiming at the problems of unsatisfactory initial population distribution of HBA...; 关键词：periodic mutation T-DISTRIBUTION linear decreasing factor robot path planning

A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network: 《Protection and Control of Modern Power Systems》2024年第6期1-18,共18页Zhenxiao Yi Shi Wang Zhaoting Li Licheng Wang Kai Wang; supported by the Zhejiang Province Natural Science Foundation(No.LY22E070007);the National Natural Science Foundation of China(No.52007170);supported by Youth Innovation Technology Project of Higher School in Shandong Province(No.2022KJ139).; Supercapacitors(SCs)are widely recognized as excellent clean energy storage devices.Accurate state of health(SOH)estimation and remaining useful life(RUL)prediction are essential for ensuring their safe and reliable o...; 关键词：SUPERCAPACITORS state of health remaining useful life honey badger algorithm recurrent dropout.

Migration time prediction and assessment of toxic fumes under forced ventilation in underground mines: 《Underground Space》2024年第5期273-294,共22页Jinrui Zhang Tingting Zhang Chuanqi Li; The authors were funded by China Scholarship Council(Grant Nos.202106370038,and 201906690049);National Key Research and Development Program of China(Grant No.2021YFC3001300).; This study aims to predict the migration time of toxic fumes induced by excavation blasting in underground mines.To reduce numerical simulation time and optimize ventilation design,several back propagation neural netw...; 关键词：Migration time Underground mines Honey badger algorithm Chaos mapping Back propagation neural network

BHJO: A Novel Hybrid Metaheuristic Algorithm Combining the Beluga Whale, Honey Badger, and Jellyfish Search Optimizers for Solving Engineering Design Problems: 《Computer Modeling in Engineering & Sciences》2024年第10期219-265,共47页Farouq Zitouni Saad Harous Abdulaziz S.Almazyad Ali Wagdy Mohamed Guojiang Xiong Fatima Zohra Khechiba Khadidja Â Kherchouche; funded by the Researchers Supporting Program at King Saud University(RSPD2024R809).; Hybridizing metaheuristic algorithms involves synergistically combining different optimization techniques to effectively address complex and challenging optimization problems.This approach aims to leverage the strengt...; 关键词：Global optimization hybridization of metaheuristics beluga whale optimization honey badger algorithm jellyfish search optimizer chaotic maps opposition-based learning

Optimal zero-crossing group selection method of the absolute gravimeter based on improved auto-regressive moving average model: 《Chinese Physics B》2023年第11期347-354,共8页牟宗磊韩笑胡若; Project supported by the National Key R&D Program of China (Grant No. 2022YFF0607504)。; An absolute gravimeter is a precision instrument for measuring gravitational acceleration, which plays an important role in earthquake monitoring, crustal deformation, national defense construction, etc. The frequency...; 关键词：absolute gravimeter laser interference fringe Fourier series fitting honey badger algorithm mul-tiplicative auto-regressive moving average(MARMA)model

Hybrid Chameleon and Honey Badger Optimization Algorithm for QoS-Based Cloud Service Composition Problem: 《Computer Systems Science & Engineering》2023年第10期393-412,共20页G.Manimala A.Chinnasamy; Cloud computing facilitates the great potentiality of storing and managing remote access to services in terms of software as a service(SaaS).Several organizations have moved towards outsourcing over the cloud to reduc...; 关键词：Cloud service composition quality of service chameleon search algorithm honey badger optimization algorithm software as a service

An Improved Honey Badger Algorithm through Fusing Multi-Strategies: 《Computers, Materials & Continua》2023年第8期1479-1495,共17页Zhiwei Ye Tao Zhao Chun Liu Daode Zhang Wanfang Bai; supported by National Science Foundation of China(Grant No.52075152);Xining Big Data Service Administration.; TheHoney Badger Algorithm(HBA)is a novelmeta-heuristic algorithm proposed recently inspired by the foraging behavior of honey badgers.The dynamic search behavior of honey badgers with sniffing and wandering is divided...; 关键词：Honey Badger Algorithm multi-strategies fusion tent chaotic mapping compound random factors

Jaya Honey Badger optimization- based deep neuro-fuzzy network structure for detection of (SARS- CoV) Covid-19 disease by using respiratory sound signals: 《International Journal of Intelligent Computing and Cybernetics》2023年第2期173-197,共25页Jawad Ahmad Dar Kamal Kr Srivastava Sajaad Ahmad Lone; Purpose-The Covid 19 prediction process is more indispensable to handle the spread and deathocurred rate because of Covid-19.However early and precise prediction of Covid-19 is more difcult because of different sizes ...; 关键词：Deep neuro fuzzy network Covid-19 detection Spectral centroid Honey Badger optimization algorithm Zero crossing rate

EliteVec: Feature Fusion for Depression Diagnosis Using Optimized Long Short-Term Memory Network: 《Intelligent Automation & Soft Computing》2023年第5期1745-1766,共22页S.Kavi Priya K.Pon Karthika; Globally,depression is perceived as the most recurrent and risky disor-der among young people and adults under the age of 60.Depression has a strong inﬂuence on the usage of words which can be observed in the form of ...; 关键词：Depression detection dimensionality reduction feature extraction feature selection hybrid LSTM network population reduction honey badger optimization social media twitter

Automatic Image Annotation Using Adaptive Convolutional Deep Learning Model被引量：1: 《Intelligent Automation & Soft Computing》2023年第4期481-497,共17页R.Jayaraj S.Lokesh; Every day,websites and personal archives create more and more photos.The size of these archives is immeasurable.The comfort of use of these huge digital image gatherings donates to their admiration.However,not all of ...; 关键词：Deep learning model J-image segmentation honey badger algorithm convolutional neural network image annotation

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