A coherent approach to quantum-classical optimization by Andrés N. Cáliz, Jordi Riu, Josep Bosch, Pau Torrente, Jose Miralles, Arnau Riera

“…In the particular case of large optimization problems, commonly found in real-world use cases, this strategy is almost mandatory to reduce the otherwise unfathomable execution costs and improve the quality of the results. …”
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Object detection algorithm in a navigation system for a rescue drone by Nataliia Stelmakh, Yurii Yukhymenko, Ilya Rudkovskiy, Anton Lavrinenkov

“… This article focuses on improving object recognition algorithms for rescue drones, in particular, enhancing the methodology for classifying human poses by expanding the set of key body points and using more effective mathematical models. …”
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Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm by Hongxin Teng, Yudi Wang, Wentao Li, Tao Chen, Qinghua Liu

“…The algorithm offers significant advantages in lightweight design and real-time performance, outperforming other classical object detection algorithms and providing an optimal solution for real-time field diagnosis.…”
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Grouped Byzantine fault tolerant consensus algorithm based on aggregated signatures by Yong Wang, Qiancheng Wan, Yifan Wu, Lijie Chen

“…Abstract The Practical Byzantine Fault Tolerance consensus algorithm faces several challenges in large-scale networks, such as the simplistic primary node selection, high communication overhead, poor scalability, and low costs for malicious behavior. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…This algorithm balances exploration and exploitation to optimize long-term performance and is designed intentionally for easy deployment in production environments. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

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Retracted: Research on GNSS-Assisted Low-Cost INS Combined Navigation Moving Base Initial Alignment Technique by Mengbo Sun, Jian Huang, Pengcheng Hu, Xiaohui Song, Zhu Li

“…The measured results show that the proposed method has better alignment accuracy and algorithm robustness than the existing Optimization-based alignment and their improvement algorithms for the moving base of low-cost INS/GNSS combined navigation.…”
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A Ｒeinforcement Learning of Cloud Ｒesource Scheduling Algorithm Based on Adaptive Weight by LI Cheng-yan, SUN Wei, TANG Li-min

“…To solve the model，a reinforcement learning based on adaptive weight algorithm was presented. To improve the efficiency of the algorithm，we designed the state space and the action representation method based on one-dimensional array to compress the storage cost of algorithm. …”
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Hydrogen Production Using PVs with MPPT Optimization by Kristián Ondrejička, Vladimír Goga, Šimon Berta, Michal Miloslav Uličný, Vladimír Kutiš

“…This study aims to enhance green hydrogen production by optimizing PV-PEMEL performance using commercial power electronics, while improving energy storage and reducing costs for sustainable hydrogen generation.…”
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Modeling and Solving the Multi-Objective Vehicle Routing Problem with Soft and Fuzzy Time Windows by Ailing Chen, Tianao Li

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Optimizing power network expansion with pumped hydro energy storage using a multi-objective enhanced spider wasp optimizer approach by Mohamed M. Refaat, Saad F. Al-Gahtani, Hussain Bassi, Ziad M. Ali, Shady H. E. Abdel Aleem

“…The problem is framed as a comprehensive multi-objective optimization model designed to minimize the cost of network expansion while maximizing the benefits of integrating various PHES technologies. …”
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Flexible scheduling strategy for power systems considering source-load uncertainty by Qunmin YAN, Xiaoyu REN, Xiao SONG, Mengjue ZHAO, Chen AN

“…The two-stage robust model is transformed into relatively independent main problems and sub-problems，and the column constraint generation （C&CG） algorithm and strong dyadic theory are adopted to iterate repeatedly to approximate the optimal solution. …”
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Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data by Simone A. Ludwig

“…Feature selection helps in improving model performance by reducing overfitting, enhancing generalization, and decreasing computational cost. …”
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Design of digital low-carbon system for smart buildings based on PPO algorithm by Yaohuan Wu, Nan Xie

“…The research results indicate that improving the near-end strategy optimization algorithm can reduce carbon emissions by 2354CO2e, while the lowest operating cost of the model is only 35,000 yuan. …”
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Using 'sentinel' plants to improve early detection of invasive plant pathogens. by Francesca A Lovell-Read, Stephen Parnell, Nik J Cunniffe, Robin N Thompson

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Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model. by Kanes Sumetpipat, Duangkamon Baowan

“…We derive analytical expression for the interaction energy between an atom and an infinite cylinder, and utilize the U-NSGA-III algorithm to optimize the system's energy by varying molecular positions and tube radius. …”
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Development of scientific and methodological approaches to improve the efficiency of quarry transport operation by A. N. Novikov, I. A. Novikov, N. A. Zagorodnij, A. S. Semykina

“…To manage the transportation process at GOK, it is required to use improved methods and methods for optimizing transport flows to reduce costs in the system “quarry-warehouse / processing plantproduction”, taking into account the dynamics of processes. …”
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Application of artificial intelligence technology in the economic development of urban intelligent transportation system by Ziming Zhao, Jinyu Chen

“…A traffic flow prediction model was established for traffic flow prediction and optimized scheduling algorithms were used to dispatch vehicles on congested urban roads intelligently. …”
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Identification of soil texture and color using machine learning algorithms and satellite imagery by Jiyang Wang

“…For future research, it is recommended to explore the combination of SVR with optimization techniques such as genetic algorithms to further improve the accuracy of soil texture and color predictions.…”
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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

“…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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