Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

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Advancing Engineering Solutions with Protozoa-Based Differential Evolution: A Hybrid Optimization Approach by Hussam N. Fakhouri, Faten Hamad, Abdelraouf Ishtaiwi, Amjad Hudaib, Niveen Halalsheh, Sandi N. Fakhouri

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Lattice-Hopping: A Novel Map-Representation-Based Path Planning Algorithm for a High-Density Storage System by Shuhan Zhang, Yaqing Song, Ziyu Chen, Guo Chen, Yongxin Cao, Zhe Gao, Xiaonong Xu

“…Optimal path planning algorithms offer substantial benefits in high-density storage (HDS) systems in modern smart manufacturing. …”
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Optimizing frequency stability with adaptive fast frequency reserves and Wide-Area Monitoring Systems by Bwandakassy Elenga Baningobera, Irina Oleinikova, Kjetil Uhlen

“…The Nordic 44 power system model is used with OPAL-RT for real-time simulation, Real-Time Automation Controller (RTAC), and protective relays to monitor, automate, protect, and control the system. The adaptive algorithm computes the frequency deviation, adjusts the control gain in real time, and recalculates the FFR activation thresholds and volumes accordingly. …”
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Distributed Optimization for VPP and Distribution Network Operation Considering Uncertainty and Green Certificate Market by Jinfeng WANG, Jinpeng LI, Yinliang XU, Haitao LIU, Jinxiong HE, Jianyuan XU

“…The distributed algorithm has a good convergence performance and can better utilize computing resources compared to the centralized algorithm.…”
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Analysis on Aigis‐Enc: Asymmetrical and symmetrical by Yupu Hu, Siyue Dong, Xingting Dong

“…Abstract Aigis‐Enc is an encryption algorithm based on asymmetrical learning with errors (LWE). …”
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Optimal Allocation of Gas Supply Reliability in Natural Gas Pipeline System Based on Exterior Penalty Function Method by Yueqi LIU, Lei HOU, Shuaishuai TANG, Huai SU, Xingtao LI

“…Optimal allocation of gas supply reliability is an important part of gas supply reliability of natural gas pipeline system.In order to study the optimal allocation scheme of gas supply reliability with the lowest cost,a cost function model based on the gas supply capacity of the pipeline system was constructed.To address the limitation of traditional intelligent optimization algorithms (e.g.…”
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Optimization of Ground Station Energy Saving in LEO Satellite Constellations for Earth Observation Applications by Francesco Valente, Francesco Giacinto Lavacca, Marco Polverini, Tiziana Fiori, Vincenzo Eramo

“…After validating the GSESH algorithm by means of a comparison with the results of the optimal solution, we have compared it to a benchmark algorithm in a typical scenario and we have verified that the GSESH algorithm allows for energy saving in the ground station up to 40% higher than the one achieved with the benchmark solution.…”
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Deep Learning‐Guided Urban Climate Risk Mitigation Through Optimal Spatial Allocation of Green and Cool Roofs by JiHyun Kim, Suyeon Choi, Mahdi Panahi, Hocheol Seo, Yeonjoo Kim

“…These indices were used to test four deep learning algorithms: UNet, UNet++, UNet3+, and Multi‐ResUNet. …”
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Energy-efficient data collection optimization for dual-UAV-assisted relay marine networks by Fukang Deng, Haibo Luo, Furong Xu, Ming Li, Jianshan Zhang

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Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error by Xuhui Zhu, Zhiwei Ni, Pingfan Xia, Liping Ni

“…Therefore, a compromise between them can ensure that the ELMs remain good diversity and high precision, but finding the compromise brings a heavy computational burden. It is hard to look for the exact result via the searching of intelligent algorithms or pruning of diversity measures. …”
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Federated learning secrecy rate optimization for 6G intelligent reflecting surface assistance by WU Yingying, MAO Bomin

“…Finally, the deep deterministic policy gradient (DDPG) algorithm was employed to solve the optimization problem, with the action space defined as the transmit power and IRS phase shift matrix, and the channel state information and previous action constituting the state space. …”
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An accuracy-privacy optimization framework considering user’s privacy requirements for data stream mining by Waruni Hewage, R. Sinha, M. Asif Naeem

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Robotic Arm Trajectory Planning in Dynamic Environments Based on Self-Optimizing Replay Mechanism by Pengyao Xu, Chong Di, Jiandong Lv, Peng Zhao, Chao Chen, Ruotong Wang

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Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization by Weiqin Ying, Bin Wu, Yu Wu, Yali Deng, Hainan Huang, Zhenyu Wang

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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adeeb Noor, Sufyan Ali Memon

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Advancements in Optimization Techniques for Active Magnetic Bearing Systems: Current Trends and Future Directions by Tasnemul Hasan Nehal, Waleed M. Hamanah, Mohammad Ali Abido

“…This review delves into cutting-edge optimization techniques for AMBs, from time-tested methods like PID control to innovative approaches such as metaheuristic algorithms, multi-objective optimization, and AI-powered strategies including reinforcement learning and iterative learning control. …”
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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

“…Therefore effective management of groundwater resources often involves some form of multi‐objective optimization (MOO). Many existing software tools offer simulation model‐enabled optimization, including evolutionary algorithms, for solving MOO problems. …”
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A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

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