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Improved Gray Wolf Algorithm for Scheduling Workflow in Cloud Computing Environment
2023 14th National Conference with International Participation (ELECTRONICA), 2023Cloud computing is a computing framework that aims to meet the increasing processing demands of users. To handle large amounts of data, cloud computing requires a method for scheduling tasks to resources.
Masoud Izadi +4 more
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Wind Power Prediction Based on Gray Wolf Algorithm and Long Short-Term Memory Neural Networks
2023 3rd International Conference on Electrical Engineering and Control Science (IC2ECS), 2023The prediction of wind power generation is of great significance for improving the reliability of power system and promoting the development of renewable energy.
Ning Ai, Yutao Dong, Yangyang Chen
semanticscholar +1 more source
Electronics
To tackle the problems of sluggish convergence rates, low precision, and limited applicability to static settings, a fusion algorithm of the improved Gray Wolf Algorithm and the improved Dynamic Window Approach is proposed.
Fei Liu, Xiankun Wu, Li Ma, Dazhang You
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To tackle the problems of sluggish convergence rates, low precision, and limited applicability to static settings, a fusion algorithm of the improved Gray Wolf Algorithm and the improved Dynamic Window Approach is proposed.
Fei Liu, Xiankun Wu, Li Ma, Dazhang You
semanticscholar +1 more source
2023 15th International Conference on Communication Software and Networks (ICCSN), 2023
Accurate traffic prediction is crucial for the performance improvement of satellite networks, which can help balance network load, optimize routing, and effectively improve network performance.
Ligang Cong +4 more
semanticscholar +1 more source
Accurate traffic prediction is crucial for the performance improvement of satellite networks, which can help balance network load, optimize routing, and effectively improve network performance.
Ligang Cong +4 more
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IEEE Transactions on Industrial Informatics
Smart grids usually apply digital load frequency controller to regulate the frequency via the wide-area communication network, where the data sampling and transmission delay of the signal transmission may degrade the frequency control performance.
Xing‐Chen Shangguan +3 more
semanticscholar +1 more source
Smart grids usually apply digital load frequency controller to regulate the frequency via the wide-area communication network, where the data sampling and transmission delay of the signal transmission may degrade the frequency control performance.
Xing‐Chen Shangguan +3 more
semanticscholar +1 more source
Harmonic detection of active power filter based on improved gray wolf algorithm with optimized VMD
2023 3rd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT), 2023Active power filters (APF) are essential in power systems for harmonic management, and their performance heavily relies on the harmonic detection capability. Recently, Variational Mode Decomposition (VMD) has emerged as a powerful time-frequency analysis
Zongguo Tao +3 more
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Optimized Machine Learning Traffic Flow Prediction Model Based on Improved Gray Wolf Algorithm
2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS), 2022Traffic congestion is an important issue facing the current automobile development, but with the continuous advancement of machine learning, models such as svm and bp neural networks are also used to design short-time traffic flow prediction models.
Y. Liu, Jun Wang
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BPNN anomaly data detection algorithm based on gray wolf algorithm to optimize K-means clustering
2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE), 2021Aiming at the situation that the K-means clustering algorithm tends to fall into the local optimal solution during the clustering process, and the clustering results are prone to errors, this paper proposes a clustering algorithm based on gray wolf ...
Ming Run-Yang +3 more
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2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
This paper presents a gray wolf (GW) algorithm approach for parameter tuning proportional integral derivative (PIDF) controller with filter in automatic generation control (AGC) system for regulated multizone power grid The proposed system uses interline
Mohammed Qasim Taha +2 more
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This paper presents a gray wolf (GW) algorithm approach for parameter tuning proportional integral derivative (PIDF) controller with filter in automatic generation control (AGC) system for regulated multizone power grid The proposed system uses interline
Mohammed Qasim Taha +2 more
semanticscholar +1 more source
Short-Term Traffic Volume Prediction Based on Gray Wolf Optimization Algorithm
2021This paper takes the data of the intersection of Jianghai Avenue and North Street as an example and proposes a short-term traffic flow prediction model (DGWO-GRU) based on the hyperbolic tangent-improved gray wolf algorithm (DGWO) to optimize the GRU neural network.
Junming Dai, Mei Sun, Quan Shi
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