Results 11 to 20 of about 4,503,508 (220)
Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm
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
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With the rapid development of intelligent transportation, intelligent algorithms and path planning have become effective methods to relieve traffic pressure.
Shijin Li, Fucai Wang
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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
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Optimization of time modulated array antennas based on improved gray wolf optimizer
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
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The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm [PDF]
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
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Using composite ranking to select the most appropriate Multi-Criteria Decision Making (MCDM) method in the optimal operation of the Dam reservoir [PDF]
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
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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
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Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning
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
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Research on Optimization of GWO-BP Model for Cloud Server Load Prediction
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
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Optimizing artificial neural networks using LevyChaotic mapping on Wolf Pack optimization algorithm for detect driving sleepiness [PDF]
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.
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