WHALE

作品数:143被引量:106H指数:4
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相关领域:自动化与计算机技术文化科学更多>>
相关作者:徐妮杨明青黄玉琴曾水平李雪冬更多>>
相关机构:天津瀚海蓝帆海洋科技有限公司盐城克莱斯曼工艺品有限公司四川外国语大学重庆南方翻译学院东华大学更多>>
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相关基金:国家自然科学基金中国博士后科学基金霍英东教育基金江苏省“青蓝工程”基金更多>>
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Energy Efficient Clustering and Sink Mobility Protocol Using Hybrid Golden Jackal and Improved Whale Optimization Algorithm for Improving Network Longevity in WSNs
《China Communications》2025年第3期16-35,共20页S B Lenin R Sugumar J S Adeline Johnsana N Tamilarasan R Nathiya 
Reliable Cluster Head(CH)selectionbased routing protocols are necessary for increasing the packet transmission efficiency with optimal path discovery that never introduces degradation over the transmission reliability...
关键词:Cluster Heads(CHs) Golden Jackal Optimization Algorithm(GJOA) Improved Whale Optimization Algorithm(IWOA) unequal clustering 
Research on the Optimal Scheduling Model of Energy Storage Plant Based on Edge Computing and Improved Whale Optimization Algorithm
《Energy Engineering》2025年第3期1153-1174,共22页Zhaoyu Zeng Fuyin Ni 
supported by the Changzhou Science and Technology Support Project(CE20235045);Open Subject of Jiangsu Province Key Laboratory of Power Transmission and Distribution(2021JSSPD12);Talent Projects of Jiangsu University of Technology(KYY20018);Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX23_1633).
Energy storage power plants are critical in balancing power supply and demand.However,the scheduling of these plants faces significant challenges,including high network transmission costs and inefficient inter-device ...
关键词:Energy storage plant edge computing optimal energy scheduling improved whale optimization algorithm 
Deep learning:an study on financial crisis forewarning in small and medium-sized listed enterprises
《Journal of Control and Decision》2025年第1期159-166,共8页Shaonan Pang Lixia Du 
Early warning of financial crisis will greatly promote the stable development of small and medium-sized listed enterprises(listed SMEs).In this article,13 warning indicators were selected for financial crisis predicti...
关键词:Deep learning small and medium-sized listed enterprise financial crisis whale optimisation algorithm 
Research on Short-Term Electric Load Forecasting Using IWOA CNN-BiLSTM-TPA Model
《印刷与数字媒体技术研究》2025年第1期179-187,共9页MEI Tong-da SI Zhan-jun ZHANG Ying-xue 
Load forecasting is of great significance to the development of new power systems.With the advancement of smart grids,the integration and distribution of distributed renewable energy sources and power electronics devi...
关键词:Whale Optimization Algorithm Convolutional Neural Network Long Short-Term Memory Temporal Pattern Attention Power load forecasting 
Combining deep reinforcement learning with heuristics to solve the traveling salesman problem
《Chinese Physics B》2025年第1期96-106,共11页Li Hong Yu Liu Mengqiao Xu Wenhui Deng 
Project supported by the National Natural Science Foundation of China(Grant Nos.72101046 and 61672128)。
Recent studies employing deep learning to solve the traveling salesman problem(TSP)have mainly focused on learning construction heuristics.Such methods can improve TSP solutions,but still depend on additional programs...
关键词:traveling salesman problem deep reinforcement learning simulated annealing algorithm transformer model whale optimization algorithm 
Application of Adaptive Whale Optimization Algorithm Based BP Neural Network in RSSI Positioning
《Journal of Beijing Institute of Technology》2024年第6期516-529,共14页Duo Peng Mingshuo Liu Kun Xie 
supported by the National Natural Science Foundation of China(Nos.62265010,62061024);Gansu Province Science and Technology Plan(No.23YFGA0062);Gansu Province Innovation Fund(No.2022A-215)。
The paper proposes a wireless sensor network(WSN)localization algorithm based on adaptive whale neural network and extended Kalman filtering to address the problem of excessive reliance on environmental parameters A a...
关键词:wireless sensor network received signal strength neural network whale optimization algorithm adaptive weight factor extended Kalman filter 
Prediction of coal and gas outburst hazard using kernel principal component analysis and an enhanced extreme learning machine approach
《Geohazard Mechanics》2024年第4期279-288,共10页Kailong Xue Yun Qi Hongfei Duan Anye Cao Aiwen Wang 
supported by the National Natural Science Foun-dation of China (No.52174188);the Graduate Education Innovation Project of Shanxi Datong University of China (No.23CX49).
In order to enhance the accuracy and efficiency of coal and gas outburst prediction,a novel approach combining Kernel Principal Component Analysis(KPCA)with an Improved Whale Optimization Algorithm(IWOA)optimized extr...
关键词:Coal and gas outburst Risk prediction Kernel principal component analysis(KPCA) Improved whale optimization algorithm(IWOA) Extreme learning machine(ELM) 
Hybrid Seagull and Whale Optimization Algorithm-Based Dynamic Clustering Protocol for Improving Network Longevity in Wireless Sensor Networks
《China Communications》2024年第10期113-131,共19页P.Vinoth Kumar K.Venkatesh 
Energy efficiency is the prime concern in Wireless Sensor Networks(WSNs) as maximized energy consumption without essentially limits the energy stability and network lifetime. Clustering is the significant approach ess...
关键词:CLUSTERING energy stability network lifetime seagull optimization algorithm(SEOA) whale optimization algorithm(WOA) wireless sensor networks(WSNs) 
Improving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity
《Journal of Bionic Engineering》2024年第5期2497-2514,共18页Yang Yang Yuchao Gao Jinran Wu Zhe Ding Shangrui Zhao 
supported in part by the National Natural Science Foundation of China under Grant 61873130;in part by the Chunhui Program Collaborative Scientific Research Project under Grant 202202004;in part by the Foundation of the Key Laboratory of Industrial Internet of Things and Networked Control of the Ministry of Education of China under Grant 2021FF01;in part by the Natural Science Foundation of Nanjing University of Posts and Telecommunications under Grant NY221082,Grant NY222144,and Grant NY223075;in part by the Huali Program for Excellent Talents in Nanjing University of Posts and Telecommunications;in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant;in part by the Fundamental Research Funds for the Central Universities under WUT:104972024KFYjc0072.
Power systems are pivotal in providing sustainable energy across various sectors.However,optimizing their performance to meet modern demands remains a significant challenge.This paper introduces an innovative strategy...
关键词:Multi-objective optimization Automatic generation control PID controller Multi-objective marine predator algorithm Whale optimization algorithm 
Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network
《Computers, Materials & Continua》2024年第10期549-566,共18页Yingnan Zhao Yuyuan Ruan Zhen Peng 
the Science and Technology Project of State Grid Corporation of China under Grant 5400-202117142A-0-0-00;the National Natural Science Foundation of China under Grant 62372242.
As the penetration ratio of wind power in active distribution networks continues to increase,the system exhibits some characteristics such as randomness and volatility.Fast and accurate short-term wind power predictio...
关键词:Wind power prediction dual-stream network variational mode decomposition(VMD) whale optimization algorithm(WOA) 
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