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Design optimization of orbital angular momentum fibers using the gray wolf optimizer
Applied Optics, 2020Optical data communication based on the orbital angular momentum (OAM) of light is a recently proposed method to enhance the transmission capacity of optical fibers. This requires a new type of optical fiber, the main part of the optical communication system, to be designed. Typically, these fibers have a ring-shaped refractive index profile. We aim to
Seyed Mohammad Mirjalili +3 more
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Load balancing in cloud using improved gray wolf optimizer
Concurrency and Computation: Practice and Experience, 2022AbstractCloud computing allocates virtual resources dynamically on user's demand. The sudden rise of data storage and computation in the cloud computing environment may cause an imbalanced workload distribution. As a result, job completion time will be higher in overloaded servers than the underloaded servers in the same environment.
Bhavesh N. Gohil, Dhiren R. Patel
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Clustering Big Datasets Using Orthogonal Gray Wolf Optimizer
2019 International Conference on Information Technology (ICIT), 2019Grey wolf optimization (GWO) is one of the many nature-inspired algorithms that is popular for solving labyrinthine optimization problems. The algorithm uses properties of hunting mechanism and leadership hierarchy of Grey wolves. This manuscript proposes a new variant of GWO called as Orthogonal Grey Wolf Optimization (OGWO).
Satyasai Jagannath Nanda +2 more
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Short-Term Hydrothermal Scheduling Using Gray Wolf Optimization
2020In this paper, a new nature-inspired meta-heuristic called gray wolf optimization (GWO), is implemented for solution of short-term hydrothermal scheduling (STHTS) problems. The analytical model of GWO is based on the rigors social hierarchy and hunting procedure of gray wolves by their unique three steps: searching for prey, encircling of prey, and ...
Khushboo Sharma +2 more
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Feature Subset Selection Approach by Gray-Wolf Optimization
2015Feature selection algorithm explores the data to eliminate noisy, irrelevant, redundant data, and simultaneously optimize the classification performance. In this paper, a classification accuracy-based fitness function is proposed by gray-wolf optimizer to find optimal feature subset. Gray-wolf optimizer is a new evolutionary computation technique which
E. Emary +3 more
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Gray Wolf Optimization for Color Quantization
SSRN Electronic Journal, 2022María-Luisa Pérez-Delgado +2 more
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Gray Wolf Optimization for Scheduling Irrigation Water
Journal of Irrigation and Drainage Engineering, 2022Kazem Shahverdi, J. M. Maestre
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Feedforward Neural Network Based on Improved Gray Wolf Optimizer
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019Neural network is one of the greatest inventions in the field of artificial intelligence. It mimics the neural elements of the human brain and is mainly used to solve classification problems and make data prediction, parameter optimization of which remains to be an important problem. Different results are obtained by different algorithms. In the paper,
Wei Liu +6 more
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Underwater Images Enhancement Based on Gray-Wolf Optimizer
2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2023Mohammad Kazem Moghimi +2 more
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