Results 11 to 20 of about 4,354 (214)
Image Denoising with Modified Grey Wolf Optimizer
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018 In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Pakize Erdoğmuş, Hüseyin Avni Ardaç
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Fuzzy Strategy Grey Wolf Optimizer for Complex Multimodal Optimization Problems
Sensors, 2022 Traditional grey wolf optimizers (GWOs) have difficulty balancing convergence and diversity when used for multimodal optimization problems (MMOPs), resulting in low-quality solutions and slow convergence.
Hua Qin, Tuanxing Meng, Yuyi Cao
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Journal of Applied Mathematics, 2017 A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).
Narinder Singh, S. B. Singh
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Modified Grey Wolf Optimizer and Application in Parameter Optimization of PI Controller
Applied SciencesThe Grey Wolf Optimizer (GWO) is a well-known metaheuristic algorithm that currently has an extremely wide range of applications. However, with the increasing demand for accuracy, its shortcomings of low exploratory and population diversity are ...
Long Sheng, Sen Wu, Zongyu Lv
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GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization
MathematicsThis study introduces the GWO-FNN model, an improvement of the fuzzy neural network (FNN) architecture that aims to balance high performance with improved interpretability in artificial intelligence (AI) systems. The model leverages the Grey Wolf Optimizer (GWO) to fine-tune the consequents of fuzzy rules and uses mutual information (MI) to initialize ...
Paulo Vitor de Campos Souza +1 more
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Optimasi Parameter Support Vector Regression (SVR) Menggunakan Algoritma Grey Wolf Optimizer (GWO)
Jurnal Ilmiah MatematikaPrediksi adalah suatu metode yang dilakukan untuk mendapatkan gambaran atau memperkirakan sesuatu yang terjadi di masa yang akan datang dengan menggunakan informasi atau data yang ada pada masa lampau dan masa kini. Support Vector Regression (SVR) merupakan salah satu metode yang digunakan untuk melakukan prediksi.
null Yulia Candra Dewi +1 more
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IET Networks, EarlyView., 2023 We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
, 2022 Swarm-based metaheuristic optimization algorithms have demonstrated outstanding performance on a wide range of optimization problems in both science and industry.
Meidani, Kazem +3 more
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Volitive Grey Wolf Optimizer [PDF]
, 2023 Swarm-based metaheuristics have become the most prominent method for solving optimization problems. Several operators already proposed in the literature can also be reused to expand the current metaheuristics.
Bastos Filho, Carmelo +4 more
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Hybrid Grey Wolf Optimizer Based Optimal Capacitor Placement in Radial Distribution Systems
, 2022 The problem of optimal capacitor placement (OCP), or the determination of both the optimal bus locations and sizes in radial distribution systems (RDS) has been solved in this article using a new metaheuristic algorithm named as the hybrid grey wolf ...
Mirjalili, S +5 more
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