Optimizing Wireless Sensor Network longevity with hierarchical chain-based routing and vertical network partitioning techniques by V. Rama Krishna, Vuppala Sukanya, Mohd Abdul Hameed

“…However, it is impossible to investigate routing without considering the effective formation of chains or clustering methods to optimize the problem in WSNs. The proposed routing technique aims to extend the lifespan of sensors using various network partitioning techniques. …”
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Optimal Capacity Configuration and Day-Ahead Scheduling of Wind-Solar-Hydrogen Coupled Power Generation System by Chengzhen JIA, Lingmei WANG, Enlong MENG, Derong YANG, Dongjie GUO, Yushan LIU

“…In order to realize the optimal capacity allocation and day-ahead scheduling in wind-solar-hydrogen coupled generation system, the NSGA-II intelligent optimization algorithm is used to solve the multi-objective optimization problem of capacity allocation, and the optimal dispatching algorithm considering hydrogen transportation constraint is constructed on power generation side. …”
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Enhancing microgrid performance: Optimal proactive reactive power dispatch using photovoltaic active power forecasts by Alexander Casilimas‐Peña, Karol Rosen, César Angeles‐Camacho

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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…However, data loss due to sensor failures, transmission interruptions, or hardware issues is a common problem. To address this challenge, this study develops a method combining Variational Mode Decomposition (VMD) and Sparrow Search Algorithm (SSA)-optimized Gate Recurrent Unit (GRU) for recovering structural response data. …”
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An Enhanced Starfish Optimization Algorithm via Joint Strategy and Its Application in Ultra-Wideband Indoor Positioning by Yu Liu, Maosheng Fu, Zhengyu Liu, Huaiqing Liu, Wei Peng, Ling Li, Yang Yang, Xiancun Zhou, Chaochuan Jia

“…The experimental results demonstrated that the overall performance of the SFOAL was better than that of other algorithms, and the joint strategy could effectively balance the development and search capabilities to obtain stronger global and local optimization capabilities. For solving practical problems, the SFOAL was used to optimize the back propagation (BP) neural network to solve the ultra-wideband line-of-sight positioning problem. …”
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Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems by Parham Azimi

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Real-Time Operation Scheduling Optimization of Electric-Hydrogen Coupling System Under Multiple Time Scales by Yu FU, Xueyue PANG, Weixiong LIU, Zhikeng LI

“…[Conclusion] The established multi-time scale optimization scheduling model, based on the results of day-ahead optimization scheduling, accurately predicts the renewable energy output and user energy demand in intraday rolling optimization and adjusts the unit output. …”
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Deep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications by Zhifang Xing, Yunhui Qin, Changhao Du, Wenzhang Wang, Zhongshan Zhang

“…In addition, for specific scenarios, we also use the multi-agent soft actor-critic (MASAC) algorithm to solve the joint optimization problem mentioned above. The numerical results show that the normalized average secrecy rate of the MASAC algorithm increased by more than 6.6% and 14.2% compared with that of the SAC and TD3 algorithms, respectively.…”
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Study of coal mine modified clean fracturing fluid and optimization of hydraulic fracturing sand adding process by Jun Liu, Jun Liu, Qinghua Zhang, Qinghua Zhang, Chiyu Zhang

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YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

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Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

“…The LTR-MHA aims to achieve adaptive optimization of algorithm combination strategies by dynamically fusing the search behaviors of Whale Optimization (WOA), Harris Hawks Optimization (HHO), and the Genetic Algorithm (GA). …”
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Optimal Configuration of Additional Heat Source for CHP System considering Demand Response Based on Comprehensive Benefits by Yuting Zhao

“…The hierarchical sequence method solves problems sequentially based on the importance of optimization goals, ensuring the satisfaction of the configuration scheme. …”
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

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Optimizing Traffic Light Control using Enhanced DQN: Minimizing Waiting Time for Regular and Emergency Vehicles by Bouzi Wissam, Bentaieb Samia, Ouamri Abdelaziz

“…An efficient traffic management system is essential to minimize traffic problems and ensure the rapid circulation of emergency vehicles. …”
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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…The Adaptive Cross Ivy (ACIVY) algorithm is a novel bio-inspired metaheuristic that emulates ivy plant growth behaviors for complex optimization problems. While the original Ivy Optimization Algorithm (IVYA) demonstrates a competitive performance, it suffers from limited inter-individual information exchange, inadequate directional guidance for local optima escape, and abrupt exploration–exploitation transitions. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. …”
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Cold Coastal City Neighborhood Morphology Design Method Based on Multi-Objective Optimization Simulation Analysis by Sheng Xu, Peisheng Zhu, Fei Guo, Duoduo Yan, Shiyu Miao, Hongchi Zhang, Jing Dong, Xianchao Fan

“…The results show that the strategy derived from the multi-objective optimization-based evaluation significantly improves the wind environment and thermal comfort of Dalian neighborhoods in winter and summer: the optimization reduced the average wind speed inside the block by 0.47 m/s and increased the UTCI by 0.48 °C in winter, and it increased the wind speed to 1.5 m/s and decreased the UTCI by 0.59 °C in summer. …”
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Traffic-driven ions motion optimization-based clustering routing protocol for cognitive radio sensor networks. by Jihong Wang, Hao Ni, Yiyang Ge, Shuo Li

“…In order to solve above problems, a traffic-driven ions motion optimization-based clustering routing protocol (TD-IMOCRP) is proposed in this paper. …”
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Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design by Serang Jung, Eungkyu Lee

“…It identified an optimal five-layer design with 0.47% average reflectance, requiring only ∼10% of the training data of the fixed scheme and 0.002% of total possible states, reducing computational costs and enhancing practical applicability. …”
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