Results 11 to 20 of about 4,503,508 (220)

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

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   +4 more sources

Research on Optimization of Improved Gray Wolf Optimization-Extreme Learning Machine Algorithm in Vehicle Route Planning

open access: yesDiscrete Dynamics in Nature and Society, 2020
With the rapid development of intelligent transportation, intelligent algorithms and path planning have become effective methods to relieve traffic pressure.
Shijin Li, Fucai Wang
doaj   +2 more sources

Improved Performance and Cost Algorithm for Scheduling IoT Tasks in Fog–Cloud Environment Using Gray Wolf Optimization Algorithm

open access: yesApplied Sciences
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics.
Naseem Adnan Alsamarai, Osman Nuri Uçan
doaj   +2 more sources

Optimization of time modulated array antennas based on improved gray wolf optimizer

open access: yesAIP Advances
With the widespread application of intelligent optimization algorithms in engineering and scientific fields, the need for their improvement and optimization is increasingly evident.
TianNing Zhu   +3 more
doaj   +2 more sources

The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm [PDF]

open access: yesFrontiers in Bioengineering and Biotechnology, 2021
Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers are largely determined by its structure parameters ...
Kang Liu   +5 more
openaire   +3 more sources

Using composite ranking to select the most appropriate Multi-Criteria Decision Making (MCDM) method in the optimal operation of the Dam reservoir [PDF]

open access: yesJournal of Hydraulic Structures, 2020
In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs.
Alireza Donyaii   +2 more
doaj   +1 more source

Improved gray wolf optimization algorithm for solving low-carbon transportation scheduling problem in open-pit mines

open access: yesGong-kuang zidonghua, 2020
In order to solve the problem of low-carbon transportation scheduling in open-pit mines, the mathematical model is established by taking the mining volume, crushing volume of crushing stations and the number of trucks as constraints and taking the ...
MEN Fei, JIANG Xi
doaj   +1 more source

Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning

open access: yesProceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2022
Abstract Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and premature convergence.
Zhiyong Luo   +3 more
openaire   +3 more sources

Research on Optimization of GWO-BP Model for Cloud Server Load Prediction

open access: yesIEEE Access, 2021
To improve the accuracy of cloud server resource load prediction, particle swarm optimization (PSO) algorithm, gray wolf optimization (GWO) algorithm and BP neural network are studied in-depth and applied.
Ke Hou   +3 more
doaj   +1 more source

Optimizing artificial neural networks using LevyChaotic mapping on Wolf Pack optimization algorithm for detect driving sleepiness [PDF]

open access: yes, 2022
Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type of network, training and selecting parameters that define networks architecture play an important role in enhancing the accuracy of the network's ...
Jassin, S.S., Hassan, A.K.A, Turner, S.
core   +1 more source

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