A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…However, existing research mainly focuses on improving solution quality within large and diverse neighborhoods, often resulting in increased computational complexity and the risk of getting trapped in local optima. …”
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Research progress of digital image forensic techniques based on deep learning by Tong QIAO, Hongwei YAO, Binmin PAN, Ming XU, Yanli CHEN

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Research on Multi-sensor Fusion Localization for Autonomous-rail Rapid Tram by PAN Wenbo, LI Yuanzhengyu, LONG Teng, CHEN Zhiwei, HUANG Wenyu, QIN Xiaohui

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The Current Role and Prospects of Electrophysiological Research Methods in Ophthalmology. Literature Review by V. N. Kazajkin, V. O. Ponomarev, A. V. Lizunov, A. E. Zhdanov, A. Yu. Dolganov, V. I. Borisov

“…In general, the limitation of EFR is its complexity and many confounding factors that can affect the result, ranging from stimulation parameters to the state of the patient himself. At the same time, the main area of prospective use of electrophysiological research is differential diagnosis, preclinical toxicology and scientific and experimental models. …”
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AGV Scheduling and Energy Consumption Optimization in Automated Container Terminals Based on Variable Neighborhood Search Algorithm by Ning Zhao, Rongao Li, Xiaoming Yang

“…The research results show that the model and variable neighborhood search algorithm proposed in this paper have a significant effect on reducing the total energy consumption of AGVs and show good stability and practical application potential.…”
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Basic aspects of methodology for justifying the performance characteristics of a tracked machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

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Algorithm for the selection of drugs for targeted antimicrobial therapy based on the results of molecular biological studies of positive blood cultures by А. V. Dekhnich, A. Yu. Kuzmenkov, D. A. Popov, I. V. Shlyk, M. V. Edelshtein

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Improving the accuracy of thin metal film research using the eddy current method by Shmykov Danil, Malikov Vladimir, Katasonov Alexander, Voinash Sergey, Vornacheva Irina, Larin Oleg, Tansura Anton

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Analysis of phenotypic manifestations of connective tissue dysplasia in adult patients with osteogenesis imperfecta and development of a diagnostic algorithm by D. I. Valeeva, R. I. Khusainova, L. N. Khusainova, M. M. Khafizov, A. V. Tyurin

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TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

“…Large-scale many-objective optimization problems (LSMaOPs) are a current research hotspot. However, since LSMaOPs involves a large number of variables and objectives, state-of-the-art methods face a huge search space, which is difficult to be explored comprehensively. …”
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Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

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Multi-site Information Synchronization Scheme Based on Wavelet Transform to Detect Signal Singularity by Baojiang TIAN, Yan LI, Xiaoyu LIAO, Xingwei DU, Wenyan DUAN

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Research on Temperature Prediction of EMU Transformer Based onMultiple Nonlinear Regression by YAN Youjun

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A systematic review on search‐based test suite reduction: State‐of‐the‐art, taxonomy, and future directions by Amir Sohail Habib, Saif Ur Rehman Khan, Ebubeogu Amarachukwu Felix

“…In this work, a systematic review study is conducted that intends to provide an unbiased viewpoint about TSR based on various types of search algorithms. The study's main objective is to examine and classify the current state‐of‐the‐art approaches used in search‐based TSR contexts. …”
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A new approach to foam flooding modelling with novel parameter Estimation techniques by Hamed Hematpur, Seyednooroldin Hosseini, Syed Mohammad Mahmood, Reza Abdollahi, Zakaria Hamdi, Reza Ghamarpoor

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A State of the Art in Simultaneous Localization and Mapping (SLAM) for Unmanned Ariel Vehicle (UAV): A Review by Rauf Abdul, Irshad Muhammad Jehanzeb, Wasif Muhammad, Mehmood Zubair, Kiren Tayybah, Siddique Nazam

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Current state and prospects of development of energy-optimal control systems for 2ES6 electric locomotives by S. G. Istomin, K. I. Domanov, A. P. SHATOKHIN, I. N. Denisov

“…Introduction. The research focuses on the current state and prospects of development of the systems of energyoptimal train driven by freight main line DC electric locomotives 2ES6. …”
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Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission by Oleksandr Gorobchenko, Denys Zaika, Sergiy Maliuk, Oleksandr Arkhypov, Oleksandr Nevedrov

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Research Progress on Process Optimization of Metal Materials in Wire Electrical Discharge Machining by Xinfeng Zhao, Binghui Dong, Shengwen Dong, Wuyi Ming

“…This paper systematically reviews the research progress in WEDM process optimization from two main perspectives: traditional optimization methods and artificial intelligence (AI) techniques. …”
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Research Progress on Sequence Recommendation Based on Deep Learning and Large Language Model by XU Fengru, LI Bohan, XU Shuai

“…Next, the main techniques in sequential recommendation are summarized in detail, including: traditional methods based on Markov chains, which model user behavior sequences by relying on state transition probabilities; deep learning-driven methods, which utilize neural network models to capture long-term dependencies and complex patterns; hybrid models, which combine multiple algorithms to enhance the accuracy and robustness of recommendation systems; and emerging methods based on large language models, which improve the understanding of user behavior and recommendation content through the integration of pre-trained large language models. …”
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