Maximizing Energy Output of Photovoltaic Systems: Hybrid PSO-GWO-CS Optimization Approach by Hassan S. Ahmed, Ahmed J. Abid, Adel A. Obed, Ameer L. Saleh, Reheel J. Hassoon

“…This study aims to address these challenges by combining cuckoo search (CS), gray wolf optimization (GWO), and particle swarm optimization (PSO) to enhance MPPT performance. …”
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A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles by Tung Linh Nguyen, Quynh Anh Nguyen

“…Conversely, the Grey Wolf Optimization algorithm excels in global exploration, offering robust mechanisms to circumvent local optima traps. …”
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Remaining Useful Life Prediction of Aero-Engine Based on Improved GWO and 1DCNN by Lihua Shen, Yucheng Wang, Baorui Du, Hailong Yang, He Fan

“…To mitigate the local optimum entrapment inherent in deep learning hyperparameter optimization, an improved Gray Wolf Optimizer incorporating dynamic perturbation factors is proposed. …”
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Introducing a Novel Method for Determining the Future Price of the Financial Markets: A Case Study of the Hang Seng Index by Afreen Akashi, Md Sanadiule Ullash, Apurba Das

“…Grey Wolf Optimization, Slime Mold Algorithm, and Genetic Algorithm are the optimization techniques included in this study. …”
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Optimal Load Frequency Control of a Multi-Area Power System with Dead Band Effect and Generation Rate Constraints by Narender Saini, Jyoti Ohri

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An Enhanced Generative Adversarial Network Prediction Model Based on LSTM and Attention for Corrosion Rate in Pipelines by Pujun Long, Mi Liang, Hongjian Chen, Qin Yang

“…This model integrates an improved Generative Adversarial Network with Grey Wolf Optimization and Support Vector Regression (LAGAN-GWO-SVR). …”
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Enhancing Frequency Event Detection in Power Systems Using Two Optimization Methods with Variable Weighted Metrics by Hussain A. Alghamdi, Midrar A. Adham, Umar Farooq, Robert B. Bass

“…The algorithm parameters were optimized using two well-established optimization techniques: Grey Wolf Optimization and Particle Swarm Optimization. …”
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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

“…In this paper, a method is presented that uses meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, artificial bee colony and gray wolf to find the optimal hyperparameters for the deep learning network and the intrusion detection system is created based on these hyperparameters. …”
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An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model by Nisha Y., Jagadeesh Gopal

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An Enhanced Bio-inspired GWO–DE Technique for Efficient Feature Selection in the EEG-RSVP Paradigm by S. Abinayaa, S. S. Sridhar

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Research on Flexible Job Shop Scheduling Method for Agricultural Equipment Considering Multi-Resource Constraints by Zhangliang Wei, Zipeng Yu, Renzhong Niu, Qilong Zhao, Zhigang Li

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Enhancing Adaptive Spectrum Access: An Intelligent Reflecting Surface Assisted CRN for Future Wireless Communication by Vishwas Srivastava, Binod Prasad

“…To address this, we propose an intelligent reflecting surface (IRS)-assisted enhanced ASAM (EASAM) CR network (CRN). Additionally, we optimize the IRS phase shifts and ST’s transmit power using the Grey Wolf Optimization (GWO) algorithm. …”
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An application of the GWO-ELM hybrid model to the accurate 2 prediction of solar radiation for the purpose of sustainable energy 3 integration by Fangyuan Li

“…This study aims to develop a new hybrid model combining the grey wolf optimizer and extreme learning machine algorithm for accurate direct normal irradiance prediction despite forecasting complexities. …”
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The superiority of feasible solutions-moth flame optimizer using valve point loading by Mohammad Khurshed Alam, Herwan Sulaiman, Asma Ferdowsi, Md Shaoran Sayem, Md Mahfuzer Akter Ringku, Md. Foysal

“…The MFO, Grey Wolf Optimizer (GWO), Success-history-based Parameter Adaptation Technique of Differential Evolution - Superiority of Feasible Solutions (SHADE-SF), and Superiority of Feasible Solutions-Moth Flame Optimizer (SF-MFO) algorithms are applied to address the OPF problem with two objective functions: (1) reducing energy production costs and (2) minimizing power losses. …”
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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment by Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi

“…Preliminary results indicate that the statistical average performance of the Cheetah algorithm surpasses that of the Gray Wolf algorithm, the combined Particle Swarm-Gravitational Search algorithm, and the Gray Wolf-Cuckoo Search algorithm. …”
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REVIEW OF FEATURE SELECTION METHODS USING OPTIMIZATION ALGORITHM (Review paper for optimization algorithm) by Zana O. Hamad

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Efficient Real-Time Cost Management in Renewable Energy-Powered Microgrid with Integrated Electric Vehicle Charging/Discharging Control by Swati Sharma, Ikbal Ali

“…Leveraging a unique hybridization of particle-swarm optimization (PSO) and grey wolf optimization (GWO), our approach dynamically orchestrates energy flow and EV charging schedules. …”
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APPLICATION OF IMPROVED GWO-SVM IN WIND TURBINE GEARBOX FAULT DIAGNOSIS by HU Xuan, LI Chun, YE KeHua, ZHANG WanFu

“…Then feature vectors are used to reduce dimensionality using isometric mapping. The improved gray wolf algorithm is used to optimize the support vector machine to diagnose the gearbox fault feature set after dimensionality reduction. …”
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Development of a cognitive blood glucose–insulin control strategy design for a nonlinear diabetic patient model by Dagher Khulood Eskander, Haggege Joseph

“…To train this controller, the grey wolf optimization meta-heuristic technique is employed. …”
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GWO-RBFNN Dual-parameter Collaborative Intelligent Optimal Control of Chaotic Motion of a Class of Permanent Magnet Synchronous Motor by LI Ningzhou, QIU Sixuan, WEI Xiaojuan, LI Xiaoqi, LI Gaosong

“…And considering the coupling effect of system parameters on the dynamic behavior of the system, a dual-parameter cooperative controller is designed based on radial basis function neural network (RBFNN) ; Grey Wolf Optimization (GWO) algorithm is used to optimize and select controller parameters to achieve the best controller performance; The system is controlled from a chaotic state to the expected motion state by adjusting the two controllable parameters in the PMSM system with minor disturbances. …”
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