Research on Day-Ahead Optimal Scheduling of Wind–PV–Thermal–Pumped Storage Based on the Improved Multi-Objective Jellyfish Search Algorithm by Yunfei Hu, Kefei Zhang, Sheng Liu, Zhong Wang

“…To address this issue, this study fully exploits the fast response and flexible operation of variable-speed pumped storage (VS-PS) by developing a day-ahead scheduling model for a wind–photovoltaic–thermal–VS-PS system. The optimization model aims to minimize system operating costs, carbon emissions, and thermal power output fluctuations, while maximizing the regulation flexibility of the VS-PS plant. …”
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Implementation of real-time optimal load scheduling for IoT-based intelligent smart energy management system using new decisive algorithm by Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

“…Abstract This paper presents the implementation of a real-time optimal load scheduling system for an IoT-based intelligent smart energy management system (SEMS) using a novel decisive algorithm. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…The model's performance is evaluated across multiple temporal horizons using sliding windows (5-day, 10-day, 20-day) to capture varying market dynamics. Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

“…These optimized parameters then serve as training data for several AI-based algorithms—including neural networks, support vector regression (SVR), and extreme gradient boosting (XGBoost)—to evaluate their inference speed and accuracy. …”
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm by Jawhara Aljabri

“…This paper presents a multi-head attention-driven intrusion detection with improved white shark optimization algorithm (MHAID-IWSOA) methodology in IoT networks. …”
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Multi-objective optimization and characteristic analysis of contra-rotating fan double-row blades coupling by Xinyu ZHANG, Hua JIANG, Wuqi GONG

“…To enhance the aerodynamic performance of contra-rotating fan and ensure the safe working environment of mine, based on feedforward neural network agent model and genetic algorithm, the multi-objective optimization of contra-rotating fan double-row blades coupling is carried out. …”
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Optimization Location Routing Problem (LRP) of Humanitarian Aid Distribution Using HGASA Method in Sigi District by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…This study aims to determine the location of the distribution centre construction and the optimal route using the Hybrid Genetic Algorithm and Simulated Annealing methods with the objective function of minimizing total costs and minimizing maximum service time for the distribution of humanitarian aid natural disaster 2018 in Sigi Regency.  …”
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Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm by Jingwen Tian, Zimo Chen, Lingling Yuan, Hongtao Zhou

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Application of Real-Time Palm Imaging with Nelder–Mead Particle Swarm Optimization/Regression Algorithms for Non-Contact Blood Pressure Detection by Te-Jen Su, Ya-Chung Hung, Wei-Hong Lin, Wen-Rong Yang, Qian-Yi Zhuang, Yan-Xiang Fei, Shih-Ming Wang

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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…Recently, various evolutionary algorithms, such as Genetic Algorithms and Particle Swarm Optimization, have been applied to detect deadlock states. …”
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Optimizing LoRaWAN Gateway Placement in Urban Environments: A Hybrid PSO-DE Algorithm Validated via HTZ Simulations by Kanar Alaa Al-Sammak, Sama Hussein Al-Gburi, Ion Marghescu, Ana-Maria Claudia Drăgulinescu, Cristina Marghescu, Alexandru Martian, Nayef A. M. Alduais, Nawar Alaa Hussein Al-Sammak

“…The experiment employs Adeunis Field Test Devices (FTDs) and Dragino LG308-EC25 gateways, systematically testing two spreading factors, SF7 and SF12, to assess their effectiveness in terms of signal quality and reliability. An innovative optimization algorithm, GateOpt PSODE, is introduced, which combines PSO and DE to optimize gateway placements based on real-time network performance metrics, like the Received Signal Strength Indicator (RSSI), the Signal-to-Noise Ratio (SNR), and packet loss. …”
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A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing by Yi Ren, Tianyi Zhang, Zhixiong Han, Weibin Li, Zhiyang Wang, Wenbo Ji, Chenhao Qin, Licheng Jiao

“…The results demonstrate that our algorithm outperforms state-of-the-art baselines. The model trained on our optimally chosen one-third dataset, as validated through experiments, showed only a 1% reduction in performance across various remote sensing metrics compared to the model trained on the full dataset. …”
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Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

“…The optimal algorithm, referred to as the OPTIVAN algorithm, was selected and validated using an external cohort (n=268). …”
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Multidimensional water-economic-ecological joint optimization for Manas River Basin, China, using a dual-population co-evolutionary algorithm by Jian Qin, Yongpeng Tong, Muhammad Arsalan Farid, Heng Zhang, Hao Tian, Xiaolong Li, Xinlin He, Lianqing Xue, Yi Li, Yongli Gao, Guang Yang

“…Study focus: A multidimensional water-economic-ecological joint optimization model was constructed and solved using an improved hybrid algorithm combining Multi-Objective Particle Swarm Optimization and Non-dominated Sorting Genetic Algorithm II. …”
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Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…Within this framework, we design three distinct optimization paths aimed at enhancing the convergence performance of the multi-objective algorithm and improving the hypervolume value metric of results. …”
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The algorithm and implementation of an extension to LLVM for solving the blocking between instruction sink and division-modulo combine by YungYu Zhuang, Ting-Wei Lin, Yin-Jung Huang

“…The results demonstrate that our approach effectively addresses the blocking problem without conflicting with other optimization algorithms, solely impacting problematic instructions while leaving normal ones unaffected.…”
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AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

“…The ISSA also exhibits superior convergence speed, achieving near-optimal paths in approximately 20 iterations, while other algorithms require around 40 iterations to approach the global optimum. …”
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Indirect tuning of a complementary orientation filter using velocity data and a genetic algorithm by Dariusz Maton, John T. Economou, David Galvão Wall, Irfan Khan, Robert Cooper, David Ward, Simon Trythall

“…In this paper, the accuracy of inertial sensor orientation relative to the level frame is improved through optimal tuning of a complementary filter by a genetic algorithm. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

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Design and Performance Optimization of a Radial Turbine Using Hydrogen Combustion Products by Pengfei Su, Weifeng He, Abdalazeem Adam, Omer Musa, Wang Chen, Zeyu Lou

“…This study aims to design a radial turbine using the differential evolution (DE) algorithm to improve its characteristics and optimize its aerodynamic performance through an orthogonal experiment and analysis of means (ANOM). …”
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