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  1. 101
  2. 102

    Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO2) based on metaheuristic optimization algorithms and machine learning techniques by Hamed Shokrnia, Ashkan KhodabandehLou, Peyman Hamidi, Fedra Ashrafzadeh

    Published 2025-06-01
    “…So, this study integrates the ANFIS (adaptive neuro-fuzzy inference system) and ELM (extreme learning machine) machine learning models with three optimization algorithms, i.e., WCA (water cycle algorithm), PSO (particle swarm optimization), and GWO (grey wolf optimizer) to precisely estimate the CS of fiber-reinforced concrete (FRC) containing SiO2. …”
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    Article
  3. 103

    Double layered expansion planning for virtual power plants considering virtual energy storage systems by Jianghai Ma, Xuanwen Gu, Yao Zhang, Jinming Gu, Wenjie Luo, Feng Gao

    Published 2025-07-01
    “…To improve computational efficiency, a hybrid Grey Wolf Optimization algorithm is employed for model solution. …”
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  4. 104

    Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization by Urbanus Mwanzia Ngei, Abraham Mutunga Nyete, Peter Musau Moses, Cyrus Wekesa

    Published 2024-12-01
    “…Comparison of GA-IPSO technique with other algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Improved Grey Wolf Optimization (IGWO) and Differential Evolution Algorithm (DEA) showed that the proposed hybrid technique was superior and more efficient in solving the FACTS optimization problem.…”
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  5. 105

    Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

    Published 2024-12-01
    “…Across all experiments, the IAOA-based method demonstrated superior performance compared to AOA and other methods, including a hybrid approach combining the average multi-verse optimizer and sine cosine algorithm, particle swarm optimizer, the sine cosine algorithm, multi-verse optimizer and grey wolf optimizer. …”
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    Article
  6. 106
  7. 107

    Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0 by A. N. Arularasan, P. Ganeshkumar, Mohammad Alkhatib, Tahani Albalawi

    Published 2025-05-01
    “…The study encompasses the application of two different advanced optimization algorithms on asset management and predictive maintenance in Industry 4.0—Grey Wolf Optimization and Jaya-based Sea Lion Optimization (J-SLnO). …”
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    Article
  8. 108

    Robust Control Frameworks for Heave Disturbance Suppression in Offshore Managed Pressure Drilling Environments by Atif Rehman, Rimsha Ghias, Iftikhar Ahmad, Hammad Iqbal Sherazi

    Published 2025-01-01
    “…Controller gains are optimized using an improved Grey Wolf Optimization algorithm, targeting the minimization of the Integral Time Absolute Error. …”
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    Article
  9. 109

    An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS) by Metwally Rashad, Mohamed S. Abdellatif, Asmaa H. Rabie

    Published 2025-09-01
    “…These algorithms include Sinh Cosh Optimization (SCHO), Chimp Optimization (Chimp), Improved Sine Cosine Algorithm (ISCA), Improved Grey Wolf Optimization (IGWO), and Coati Optimization Algorithm (COA). …”
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    Article
  10. 110

    Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer Concrete by Xiaoyan Wang, Yantao Zhong, Fei Zhu, Jiandong Huang

    Published 2024-12-01
    “…This study explores the predictive capabilities of soft computing models in estimating the compressive strength of GeC, utilizing multi-layer perceptron (MLP) neural networks and hybrid systems incorporating the Gannet Optimization Algorithm (GOA) and Grey Wolf Optimizer (GWO). …”
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    Article
  11. 111

    Optimizing blood glucose predictions in type 1 diabetes patients using a stacking ensemble approach by Vincent B. Liu, Laura Y. Sue, Oscar Madrid Padilla, Yingnian Wu

    Published 2025-06-01
    “…Methods: The DiaTrend dataset includes 27,561 days of continuous glucose monitoring and 8220 days of insulin pump data for 54 patients with type 1 diabetes. Grey Wolf optimization was used to tune and evaluate three machine learning algorithms – Random Forest, LSTM, GRU – for blood glucose predictions, whose predictions were then combined into an XGBoost stacking ensemble meta-learner. …”
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    Article
  12. 112

    A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

    Published 2024-01-01
    “…Features were selected by using binary meta-heuristic optimization methods including differential evolution optimization (DEO), grey wolf optimization (GWO), Harris hawks optimization (HHO) and particle swarm optimization (PSO). …”
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  13. 113

    (IoT) Network intrusion detection system using optimization algorithms by Luo Shan

    Published 2025-07-01
    “…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
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  14. 114

    Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning by Gökhan Altun, İlhan Aydın

    Published 2025-02-01
    “…In the hybrid algorithm, the simplicity and powerful global search capabilities of the Particle Swarm Optimization (PSO) algorithm are combined with the strong exploration and local minimum avoidance features of the Grey Wolf Optimization (GWO) algorithm. …”
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    Article
  15. 115

    Improving the Control Strategy of the DVR Compensator Based on an Adaptive Notch Filter with an Optimized PD Controller Using the IGWO Algorithm by Mohammed M. Alrashed, Aymen Flah, Masoud Dashtdar, Claude Ziad El-Bayeh, Mohamed F. Elnaggar

    Published 2024-01-01
    “…This article presents a DVR control scheme optimized with improved grey wolf optimization (IGWO) that uses a proportional derivative (PD) controller and adaptive notch filter (ANF). …”
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  16. 116

    Grey Wolf Resampling-Based Rao-Blackwellized Particle Filter for Mobile Robot Simultaneous Localization and Mapping by Yong Dai, Ming Zhao

    Published 2021-01-01
    “…An artificial intelligent grey wolf optimizer (GWO)-assisted resampling scheme is applied to the Rao-Blackwellized particle filter (RBPF) in the simultaneous localization and mapping (SLAM). …”
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  17. 117

    Kinematics Analysis of a 2PRP<sub>a</sub>U-2PSS Parallel Mechanism by Zheng Xin, Du Li, Che Linxian, Li Jie, Huang Xin, Lu Jiahong, Yi Hongyu

    Published 2022-11-01
    “…Meanwhile, the nonlinear equations of forward displacement are transformed into one-dimensional equation, thus using the improved grey wolf optimization algorithm to solve this problem. …”
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  18. 118

    Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique by Muhammed F. Alwaeli, Sadjad Galvani, Vahid Talavat

    Published 2025-03-01
    “…The proposed observation indicates the application of a grey wolf optimization (GWO) primarily based on the multi-objective function. …”
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  19. 119

    Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

    Published 2024-10-01
    “…Then, the DLBITM-AMD approach utilizes the binary grey wolf optimization (BGWO) model to select optimum feature subsets. …”
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  20. 120

    Reservoir Neural Network Computing for Time Series Forecasting in Aerospace: Potential Applications to Predictive Maintenance by Juan Manuel Rodríguez Riesgo, Juan Luis Cabrera Fernández

    Published 2024-07-01
    “…Coupling a reservoir neural network and a Grey Wolf optimization algorithm the system hyperparameters space is explored to find the configuration best suited to forecast the input sensor from the NASA CMAPSS dataset. …”
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