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The defect of the Grey Wolf optimization algorithm and its verification method
Knowledge-Based Systems, 2019Abstract Grey wolf optimization algorithm (GWO) is a new meta-heuristic optimization technology. Its principle is to imitate the behavior of grey wolves in nature to hunt in a cooperative way. GWO is different from others in terms of model structure.
Peifeng Niu +3 more
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An Optimized Grey Wolf Algorithm
2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control ( SDPC), 2022Die Zeng +5 more
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An improved grey wolf optimizer algorithm integrated with Cuckoo Search
2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017Grey Wolf Optimizer (GWO) is a new meta-heuristic optimization. It is inspired by the unique predator strategy and organization system of grey wolves. Since the GWO algorithm is easy to fall into local optimum especially when it is used in the high-dimensional data, an improved GWO algorithm combined with Cuckoo Search (CS) is proposed in this paper ...
Hui Xu, Xiang Liu, Jun Su
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Grey wolf optimization algorithm for facial image super-resolution
Applied Intelligence, 2018Face image super-resolution (FSR) algorithms are capable of providing a high-resolution image from an input low-resolution (LR) image. Various FSR algorithms use a set of training examples to reconstruct the input LR image. For the purpose, proper weights need to be calculated for each training image. In general, the least square estimation approach is
Shyam Singh Rajput +2 more
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Firefly Algorithm and Grey Wolf Optimizer for Constrained Real-Parameter Optimization
2019The main goal of this paper is to present the performance of two popular algorithms, the first is the Firefly Algorithm (FA) and the second one is the Grey Wolf Optimizer (GWO) algorithm for complex problems. In this case the problems that we are presenting are of the CEC 2017 Competition on Constrained Real-Parameter Optimization in order to realize a
Luis Rodríguez +3 more
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Grey wolf optimization algorithm with invasion-based migration operation
2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), 2016This paper proposed a solution to improve the grey wolf optimizer performance with integrate the invasion-based migration operation. The traditional grey wolf optimizer algorithm have three main steps of hunting, searching for prey, encircling prey and attacking prey whereas the wolves have only one pack.
Duangjai Jitkongchuen +2 more
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Grey Wolf optimization Algorithm for Optimal Siting and Sizing of Capacitors
2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2018In this paper, the problem of optimal siting and sizing of capacitors is brought up using the Grey Wolf optimization Algorithm and Loss Sensitivity Factor. This Loss Sensitivity Factor is being used for screening the few most optimal sites (buses) for the placement of capacitors.
Vivek Pratap Singh Bhadouria +1 more
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Optimize CNN parameters based on grey wolf algorithm
Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence, 2023openaire +2 more sources
Grey Wolf Optimizer Algorithm for Suspension Insulator Designing
2021Dyhia Doufene +3 more
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Opposition-based learning grey wolf optimizer for global optimization
Knowledge-Based Systems, 2021Xiaobing Yu, Chenliang Li
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