Level of Service Evaluation Method for Waterway Intersections by Yihua Liu, Xin Guo, Fei Lin, Nian Liu, Daiheng Ni

“…To address this issue, transportation authorities will typically employ flow organization strategies to optimize operations at these intersections. However, effective methods for traffic management, both before and after implementation, are still lacking. …”
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Forming an Optimal Regional Tourism Structure in Ukraine: Socio-Cultural Dimension by Liudmyla Batchenko, Yaroslav Yasnyskyi

“…The tourism industry in Ukraine is not only a tool for positioning the ‘Ukraine’ brand far beyond its borders, but also one of the factors in achieving optimality in the formation of regional economic structures to overcome economic imbalances and ensure the sustainable development of regions and the economy of the state as a whole. …”
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Optimization of English Learning Platform Based on a Collaborative Filtering Algorithm by Jiali Tang

“…This paper provides a detailed description of the recommendation system and collaborative filtering algorithm to optimize the English learning platform through the collaborative filtering algorithm and analyses the algorithmic principles and specific techniques of collaborative filtering. …”
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Optimization mechanism of attack and defense strategy in honeypot game with evidence for deception by Lihua SONG, Yangyang JIANG, Changyou XING, Guomin ZHANG

“…Using game theory to optimize honeypot behavior is an important method in improving defender’s trapping ability.Existing work tends to use over simplified action spaces and consider isolated game stages.A game model named HoneyED with expanded action spaces and covering comprehensively the whole interaction process between a honeypot and its adversary was proposed.The model was focused on the change in the attacker’s beliefs about its opponent’s real identity.A pure-strategy-equilibrium involving belief was established for the model by theoretical analysis.Then, based on the idea of deep counterfactual regret minimization (Deep-CFR), an optimization algorithm was designed to find an approximate hybrid-strategy-equilibrium.Agents for both sides following hybrid strategies from the approximate equilibrium were obtained.Theoretical and experimental results show that the attacker should quit the game when its belief reaches a certain threshold for maximizing its payoff.But the defender’s strategy is able to maximize the honeypot’s profit by reducing the attacker’s belief to extend its stay as long as possible and by selecting the most suitable response to attackers with different deception recognition abilities.…”
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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

“…In recent years, network traffic increases exponentially with the iteration of devices, while more and more attacks are launched against various applications.It is significant to identify and classify attacks at the traffic level.At the same time, with the explosion of Internet of Things (IoT) devices in recent years, attacks on IoT devices are also increasing, causing more and more damages.IoT intrusion detection is able to distinguish attack traffic from such a large volume of traffic, secure IoT devices at the traffic level, and stop the attack activity.In view of low detection accuracy of various attacks and sample imbalance at present, a random forest based intrusion detection method (Resample-RF) was proposed, which consisted of three specific methods: optimal sample selection algorithm, feature merging algorithm based on information entropy, and multi-classification greedy transformation algorithm.Aiming at the problem of unbalanced samples in the IoT environment, an optimal sample selection algorithm was proposed to increase the weight of small samples.Aiming at the low efficiency problem of random forest feature splitting, a feature merging method based on information entropy was proposed to improve the running efficiency.Aiming at the low accuracy problem of random forest multi-classification, a multi-classification greedy transformation method was proposed to further improve the accuracy.The method was evaluated on two public datasets.F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance.The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the application, protect the IoT devices, and thus protect the related users.…”
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Dynamic characterization and vibration response optimization of EMT system for tracked vehicles by Zhengda Han, Xiaocong Liang, Wei Zhang, Yi Liu, Jingang Liu

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Evaporation as a Method for Obtaining Plant Concentrates by Nataliya E. Kulikova, Antonina G. Chernobrovina, Natalia N. Roeva, Olga Yu. Popova

“…The research objective was to select the optimal mode to obtain concentrates and extracts from plant materials. …”
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A Decision Support System for Optimal Building Cold Source Selection by Qing Li, Yan Dong, Rong-Guang Cao, Le Li, Zhi-Bin Chen

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Supply Chain Data Governance Optimization Based on Fuzzy DEMATEL-ISM by Yaoxi Liu, Jinyu Wei, Xiaoxuan Wang

“…Further, we employed a combined fuzzy decision-making trial and evaluation laboratory (DEMATEL) and Interpretative Structural Models (ISM) method to explore the index prioritization and hierarchical relationships for data governance optimization. …”
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Systematic Literature Review: Optimizing Broiler Chicken Cage Temperature and Humidity by Fidel Lusiana Putri, Deva Kurnia Setiawan, Arsmanda Adi Nugraha, Feddy Setio Pribadi, Rizky Ajie Aprilianto

“…This research is a Systematic Literature Review that uses the PRISMA method to optimize the temperature and humidity of broiler cages. …”
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Numerical Study for Optimizing Heat Transfer in High Speed Rotating Components by S. Wittig, S. Kim, Th. Scherer, I. Weissert

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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…SGD, Adam, NAdam and RMSprop implemented in Keras were compared as optimizers to achieve faster convergence. Adam showed the best results in terms of accuracy, while the MSE loss function (mean square error) was used together with the optimizer. …”
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A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization by Javad Alikhani Koupaei, Mohammad Javad Ebadi

“…To address these issues, this paper proposes a chaotic decomposition-based approach that leverages the ergodic properties of chaotic maps to enhance optimization performance. The proposed method consists of three key stages: (1) chaotic sequence initialization, which generates a diverse population to enhance the global search while reducing computational costs; (2) chaos-based correction, which integrates a three-point operator (TPO) and a local improvement operator (LIO) to refine the Pareto front and balance the exploration–exploitation trade-offs; and (3) Tchebycheff decomposition-based updating, ensuring efficient convergence toward optimal solutions. …”
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Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

“…The aim is to develop a methodology for topological complex optimization of the engine design, based on a genetic algorithm.METHODS. …”
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Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History by Danping Wang, Kunyuan Hu, Lianbo Ma, Maowei He, Hanning Chen

“…A hybrid coevolution particle swarm optimization algorithm with dynamic multispecies strategy based on K-means clustering and nonrevisit strategy based on Binary Space Partitioning fitness tree (called MCPSO-PSH) is proposed. …”
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Optimization of Plant Regeneration in Different Pepper (Capsicum annuum L.) Lines by Tolga İzgü, Hülya İlbi, Yeşim Yalçın Mendi

“…Development of an efficient plant regeneration protocol is essential for vegetable crop advancement by biotechnological methods. In this study, regeneration protocols of four pepper lines of different pepper types were optimized. …”
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Process optimization and drying characteristics of instant noodles mixed with potato and oat by HUO Rui, KANG Lianhe, ZHANG Zhifen, QIAO Jianmin, ZHANG Yuanyuan

“…<b>Objective:</b> This study aimed to prepare a nutritious instant noodle with regional characteristics. <b>Methods:</b> The process was optimized using whole potato flour, oat flour, and wheat gluten flour as the basic ingredients. …”
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Assessment of Urban Water Supply System Based on Query Optimization Strategy by Shibao Lu, Yizi Shang, Wei Li, Zhimin Wang

“…This paper has the goal of improving water treatment efficiency and reducing water treatment cost based on comparative studies by applying two types of distributed database query optimization methods, including the system for a distributed database (SDD-1) and all reduction algorithms. …”
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Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm by Harun Akbulut

“…This study proposes a block-based multi-focus image fusion method using the Energy Valley Optimization Algorithm (EVOA), which has been introduced in recent years. …”
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Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection by Caiguang Zhang, Ruofeng Yu, Shuwen Wang, Fatong Zhang, Shaojia Ge, Shuangshuang Li, Xuezhou Zhao

“…To address these challenges, this paper proposes a lightweight SAR object detection method optimized for edge devices. First, we design an efficient backbone network based on inverted residual blocks and the information bottleneck principle, achieving an optimal balance between feature extraction capability and computational resource consumption. …”
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