Designing a Scenario-Based Fuzzy Model for Sustainable Closed-Loop Supply Chain Network considering Statistical Reliability: A New Hybrid Metaheuristic Algorithm by Peyman Bahrampour, Seyyed Esmaeil Najafi, Farhad Hosseinzadeh lotfi, Ahmad Edalatpanah

“…In order to solve the proposed model, a new hybrid metaheuristic algorithm based on the distinctive features of gray wolf algorithm and genetic algorithm was proposed in addition to MOPSO and NSGA-II algorithms. …”
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The Performance of a New Heuristic Approach for Tracking Maximum Power of PV Systems by Aripriharta Aripriharta, Kusmayanto Hadi Wibowo, Irham Fadlika, Muladi Muladi, Nandang Mufti, Markus Diantoro, Gwo-Jiun Horng

“…Based on the simulation results, it was found that mQHBM was able to exceed the capabilities of other methods such as original QHBM, particle swarm optimization (PSO) and perturb and observe (P&O), ANN, gray wolf (GWO), and cuckoo search (CS) in terms of MPPT speed and overshoot. …”
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Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms by Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat Deris

“…This paper emphasizes optimizing the EDM process using three metaheuristic algorithms: Glowworm Swarm Optimization (GSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA). …”
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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Second, the hybrid model constructed by long short-term memory and K-nearest neighbor (LSTM-KNN) algorithm using transformed grey wolf optimization is discussed. Parallel computing is used in this part to reduce complexity. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. …”
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Soft Sensor Modeling Method Based on SPA-GWO-SVR for Marine Protease Fermentation Process by Zhu Li, Khalil Ur Rehman, Liu Wenhui, Faiza Atique

“…To further improve the model's prediction accuracy, the grey wolf optimization (GWO) algorithm is used to optimize the critical parameters (kernel function width σ, penalty factor c, and insensitivity coefficient ε) of the SVR model. …”
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Multistrategy Harris Hawks Optimization Algorithm Using Chaotic Method, Cauchy Mutation, and Elite Individual Guidance by Lei Wen, Guopeng Wang, Longwang Yue, Xiaodan Liang, Hanning Chen

“…Through the simulation experiments on CCCHHO with 11 different benchmark functions, CCCHHO is better than the gray wolf optimization algorithm (GWO), the Salp swarm algorithm (SSA), the ant lion optimization algorithm (ALO), and three improved HHO algorithms in terms of convergence speed and optimization accuracy, whether it is a unimodal benchmark function or a multimodal benchmark function. …”
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A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter by Shaik Rafikiran, C. H. Hussaian Basha, C. Dhanamjayulu

“…Here, the first objective of the work is the development of the Grey Wolf Optimization Technique (GWOT) involving a Fuzzy Logic Controller (FLC) for finding the Maximum Power Point (MPP) of the fuel stack. …”
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Spin angular momentum at the sharp focus of a cylindrical vector vortex beam by V.V. Kotlyar, S.S. Stafeev, A.M. Telegin

“…Sharp focusing of a light field with double (phase and polarization) singularity is studied. Using the Richards-Wolf method, an exact analytical expression for the longitudinal projection of the spin angular momentum (SAM) vector at the focus is obtained. …”
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Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data by Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar

“…Correlation feature selection (CFS) is used for feature selection, and improved grey wolf optimizer (IGWO) is used for feature optimization. …”
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Isolation of Escherichia coli 0157:H7 Strain from Fecal Samples of Zoo Animal by Aseel Mohammed Hamzah, Aseel Mohammed Hussein, Jenan Mahmoud Khalef

“…The isolation and characterization of Escherichia coli O157:H7 strains from 22 out of 174 fecal samples from petting zoo animals representing twenty-two different species (camel, lion, goats, zebra, bear, baboon monkey, Siberian monkey, deer, elk, llama, pony, horses, fox, kangaroo, wolf, porcupine, chickens, tiger, ostrich, hyena, dogs, and wildcats) were investigated. …”
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Reactive Power Optimization of Distribution Network Considering the Reactive Power Output of Doubly Fed Induction Generator by Cheng ZHANG, Yu CHEN, Can LI, Liangshuai LU, Zhenglong XIA

“…[Result] Taking the improved IEEE33 node distribution network as an example, the improved whale optimization algorithm can improve the global search ability and convergence speed comparing the particle swarm optimization and gray wolf optimizer. [Conclusion] The optimal reactive power output of wind farm optimized by the proposed strategy can reduce more system losses and improve the voltage stability of distribution network.…”
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An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates by PENG Gang, KOU Qilong, FANG Tao, GENG Xin, KONG Xiangwen, XU Yaoyao

“…The upper layer employs a grey wolf optimizer （GWO） to determine the locations， capacities， and power ratings of energy storage， which are then passed to the lower layer as newly dispatchable energy storage resources. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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Hybrid optimization of EDLP and high-low pricing strategies by Hamed Karimi

“…However, as retail applications scale up, the computational complexity becomes more challenging, necessitating the use of the Grey Wolf Optimization (GWO) algorithm. The GWO algorithm effectively balances computational efficiency with solution quality, making it a robust approach for large-scale problems. …”
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Role of badger setts in life of other carnivores by Natalia V. Sidorchuk, Michail V. Maslov, Vyacheslav V. Rozhnov

“…The second group includes lynx Lynx lynx and wolf Canis lupus in Darwin reserve and Asiatic black bear Ursus thibetanus, brown bear U. arctos, yellow-throated marten Martes flavigula aterrima and lynx Lynx lynx in Ussuriisk reserve. …”
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Transient Ischemic Attack and Ischemic Stroke in Danon Disease with Formation of Left Ventricular Apical Thrombus despite Normal Systolic Function by Takeshi Tsuda, Amanda J. Shillingford, Jane Vetter, Vinay Kandula, Badal Jain, Joel Temple

“…Danon disease is a rare X-linked dominant skeletal and cardiac muscle disorder presenting with hypertrophic cardiomyopathy, Wolf-Parkinson-White syndrome, skeletal myopathy, and mild intellectual disability. …”
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Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis by Muthukumaran Thulasingam, Ajay D Vimal Raj Periyanayagam

“…The proposed configuration of the N + 1 bus system for the existing RTRDS was evaluated for voltage performance and compared with the Grey Wolf Optimization (GWO) algorithm. The results indicate that the N + 1 bus configuration modeled using the MiPower tool performed comparably to the GWO results. …”
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Fault location method for multi-section hybrid lines considers velocity uncertainty by Liwei Xie, Youpeng Wang, Yang Xiao, Xiangjun Zeng, Yan Mo, Zhuo Long

“…Besides, in order to search for the optimal value, a selected opposition-based grey wolf optimizer (SOGWO) is employed. Various fault scenarios are simulated, and the obtained results validate that the proposed approach is reliable for identifying fault sections and locating fault points in hybrid lines.…”
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Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

“…This study proposes a method for predicting yields in China’s major winter wheat-producing regions using MOD13A1 data and a deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of the Convolutional Neural Network (CNN) with IGWO, the prediction accuracy is significantly enhanced. …”
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