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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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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Virtual power plant capacity tariff pricing method based on master–slave game by Shaobo Yin, Weiqing Sun, Haibing Wang

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Performance Improvement in a Vehicle Suspension System with FLQG and LQG Control Methods by Tayfun Abut, Enver Salkım, Andreas Demosthenous

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Link and Loss Aware GW-COOP Routing Protocol for FANETs by Shahzad Hameed, Saleh Alyahya, Qurratul-Ain Minhas, Shabana Habib, Asif Nawaz, Sheeraz Ahmed, Atif Ishtiaq, Muhammad Islam, Sheroz Khan

“…This protocol consists of Gray Wolf Optimizer (GWO) that drives gray wolves’ social hierarchy and collaboration technique. …”
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A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments by Yiyuan Li, Weiyi Chen, Bing Fu, Zhonghong Wu, Lingjun Hao

“…Secondly, a method for calculating obstacle-avoidance path costs based on the Voronoi diagram is proposed, laying the foundation for obtaining the optimal access order. Thirdly, an improved discrete grey wolf optimizer (IDGWO) algorithm integrated with variable neighborhood search (VNS) operations is proposed to perform task assignment for multiple UAVs and achieve workload balancing. …”
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Extraction of the Optimal Parameters of Single-Diode Photovoltaic Cells Using the Earthworm Optimization Algorithm by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

“…Furthermore, the outcomes obtained via the EOA are contrasted with those derived from other algorithms, namely gray wolf optimizer (GWO), whale optimization algorithm (WOA), sine cosine algorithm (SCA), moth–flame optimization (MFO), ant lion optimizer (ALO), and multiverse optimizer (MVO). …”
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Evaluating the strength properties of high-performance concrete in the form of ensemble and hybrid models using deep learning techniques by Zhe Wang, Tao Sun, Yan Sun, Na Liu

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Logarithmic mean optimization a metaheuristic algorithm for global and case specific energy optimization by Idriss Dagal, Ambe Harrison, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Mohammad Khishe, Pradeep Jangir, Aseel Smerat, Saad F. Al-Gahtani, Z. M.S. Elbarbary, Emmanuel Fendzi Donfack, Hassan Abouobaida

“…LMO leverages logarithmic mean operations to achieve a superior balance between exploration and exploitation. The algorithm’s performance was benchmarked against six established methods—Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Grey Wolf Optimizer (GWO), Cuckoo Search Algorithm (CSA), and Firefly Algorithm (FA)—using the CEC 2017 suite of 23 high-dimensional functions. …”
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Application of Improved Whale Algorithm to Optimize Dephosphorization Process Parameters in Converter Steelmaking by Congrui Wu, Yueping Kong

“…The algorithm innovatively combines Sobol quasi-random sequences with grey wolf social hierarchy strategies to prevent premature convergence in high-dimensional search spaces while maintaining Pareto front diversity, supplemented by a reward mechanism to ensure strict adherence to multi-objective constraints. …”
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KPLS Optimization With Nature-Inspired Metaheuristic Algorithms by Jorge Daniel Mello-Roman, Adolfo Hernandez

“…It was solved using nature-inspired metaheuristic algorithms: the genetic algorithm, particle swarm optimization, grey wolf optimization and the firefly algorithm. …”
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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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Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model by Zirui Zeng, Junwen Xu, Shiwei Zhou, Yufeng Zhao, Yansong Shi

“…Furthermore, the optimal nonlinear parameters are determined by Grey Wolf optimization algorithm to improve the prediction performance, enhancing the model’s predictive performance. …”
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Research on trajectory planning method of anchor drilling robot manipulator by ZHANG Jun, LI Wanye, GUO Jiahua, LI Jingkai, HE Xinyue, WU Zhongbin

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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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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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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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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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The hybrid algorithms in constrained optimization of the permanent magnet motors by Łukasz Knypiński, Ramesh Devarapalli, Frederic Gillon

“…The optimal results for the hybrid Cuckoo Search and hybrid Grey Wolf Optimization have been compared. …”
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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

“…Several attempts have been carried out to solve the optimization problem involved in the EDM process. 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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