Results 1 to 10 of about 74,863 (268)

Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm [PDF]

open access: yesScientific Reports, 2023
High precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm (IGWO-OKF) is proposed in this paper.
Zheming Pang, Yajun Wang, Fang Yang
doaj   +5 more sources

Microservice combination optimisation based on improved gray wolf algorithm

open access: yesConnection Science, 2023
Microservices architecture is a new paradigm for application development. The problem of optimising the performance of microservice architectures from a non-functional perspective is a typical Nondeterministic Polynomial (NP) problem.
Jingjing Hu   +5 more
doaj   +3 more sources

Optimizing BiLSTM Network Attack Prediction Based on Improved Gray Wolf Algorithm

open access: yesApplied Sciences, 2023
Aiming at the problems of low accuracy of network attack prediction and long response time of attack detection, bidirectional long short-term memory (BiLSTM) was used to predict network attacks. However, BiLSTM has the problems of difficulty in parameter
Shaoming Qiu   +4 more
doaj   +3 more sources

An Adaptive Control Based on Improved Gray Wolf Algorithm for Mobile Robots

open access: yesApplied Sciences
In this paper, a novel intelligent controller for the trajectory tracking control of a nonholonomic mobile robot with time-varying parameter uncertainty and external disturbances in the case of tire hysteresis loss is proposed.
Haoran Xue, Shouyin Lu, Chengbin Zhang
doaj   +3 more sources

Echo State Neural Network Based on an Improved Gray Wolf Algorithm Predicts Porosity through Logging Data. [PDF]

open access: yesACS Omega, 2023
In oil exploration and development, many reservoir parameters are very essential for reservoir description, especially porosity. The porosity obtained by indoor experiments is reliable, but human and material resources will be greatly invested.
Youzhuang S, Junhua Z, Yongan Z.
europepmc   +2 more sources

An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems

open access: yesScientific Reports
As a newly proposed optimization algorithm based on the social hierarchy and hunting behavior of gray wolves, grey wolf algorithm (GWO) has gradually become a popular method for solving the optimization problems in various engineering fields. In order to
Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen
doaj   +4 more sources

Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion

open access: yesIEEE Access, 2023
To address the shortcomings of the basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on the initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning ...
Xiaoxiao Yang, Yihui Qiu
doaj   +2 more sources

Integrated Energy Scheduling Optimization Based on Improved Gray Wolf Algorithm

open access: yesJournal of Physics: Conference Series, 2023
Abstract An integrated energy system contains a lot of distributed energy resources, and various energy sources complement each other, which greatly improves energy and has a significant advantage in energy conservation and emissions reduction.
Jiawei Shang   +4 more
openaire   +2 more sources

Research on Optimization of an Open-Bench Deep-Hole Blasting Parameter Using an Improved Gray Wolf Algorithm

open access: yesApplied Sciences
The blasting quality of open-pit mining can be enhanced and the production cost of stope reduced by establishing a mathematical model for step drilling and blasting costs based on stope consumption.
Li Zhao   +5 more
doaj   +2 more sources

Improved Gray Wolf Algorithm Based On Dynamic Inertia Weight and Adaptive Search

open access: yesJournal of Physics: Conference Series, 2021
Abstract An improved ISAGWO algorithm is proposed to solve the problem that the traditional grey Wolf algorithm is easy to fall into local optimum, which leads to low search accuracy. By introducing the weight factor before the vector coefficient, the position vector updating formula and the adaptive search strategy of the dynamic ...
Pengchen Cai, Damin Zhang
openaire   +2 more sources

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