A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances. [PDF]
Knowl Inf Syst, 2022 Deep learning is the most dominant area to perform the complex challenging tasks such as image classification and recognition. Earlier researchers have been proposed various convolution neural network (CNN) with different architectures to improve the ...
Challapalli JR, Devarakonda N.
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A Novel Coverage Optimization Strategy Based on Grey Wolf Algorithm Optimized by Simulated Annealing for Wireless Sensor Networks. [PDF]
Comput Intell Neurosci, 2021 The coverage optimization problem of wireless sensor network has become one of the hot topics in the current field. Through the research on the problem of coverage optimization, the coverage of the network can be improved, the distribution redundancy of ...
Zhang Y, Cao L, Yue Y, Cai Y, Hang B.
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An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis. [PDF]
PLoS OneMedical image classification (IC) is a method for categorizing images according to the appropriate pathological stage. It is a crucial stage in computer-aided diagnosis (CAD) systems, which were created to help radiologists with reading and analyzing ...
Alnowaiser K +4 more
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Hybrid optimization algorithm for solving path planning problems based on grey wolf optimization algorithm. [PDF]
Sci RepThe grey wolf optimization algorithm is a metaheuristic optimization algorithm based on the behavior of grey wolf groups in nature, which has the advantages of a simple concept and few adjustment parameters and is widely used in various fields.
Cheng G, Liu Y.
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Scientific ReportsThis study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering.
Manoharan Premkumar +7 more
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Grey Wolf Algorithm-Based Clustering Technique
Journal of Intelligent Systems, 2017 The main problem of classical clustering technique is that it is easily trapped in the local optima. An attempt has been made to solve this problem by proposing the grey wolf algorithm (GWA)-based clustering technique, called GWA clustering (GWAC ...
Vijay Kumar, J. Chhabra, Dinesh Kumar
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An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning
IEEE Access, 2021 Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems.
Jingyi Liu, Xiuxi Wei, Huajuan Huang
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A New K means Grey Wolf Algorithm for Engineering Problems [PDF]
arXiv.org, 2021 Purpose: This paper aims at studying meta-heuristic algorithms. One of the common meta-heuristic optimization algorithms is called grey wolf optimization (GWO).
Hardi M. Mohammed +4 more
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Power Transformer fault Diagnosis based on Hybrid Intelligent Algorithm
Journal of Applied Science and Engineering, 2023 The gas content in the oil is used as the fault input characteristic for the power transformer. Still, the accuracy of the diagnosis results is not ideal, and such a model is unstable.
Yong Xu, Xiaojuan Lu
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Sustainability, 2022 The effects of developing technology and rapid population growth on the environment have been expanding gradually. Particularly, the growth in water consumption has revealed the necessity of water management.
Huseyin Cagan Kilinc, Adem Yurtsever
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