A novel research on network security situation prediction based on iteratively optimized RBF-NN by Yuqin Wu, Congqi Shen, Shungen Xiao, Wei Feng, Yexian Fan, Xiuzhuang Zhou

“…In this paper, we propose a novel iterative optimized RBF-NN method for NSS prediction. Our proposed method leverages a resource allocation network (RAN) to dynamically determine the optimal number of neurons in the hidden layer, ensuring a balance between model complexity and prediction accuracy. …”
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Fast and Accurate Direct Position Estimation Using Low-Complexity Correlation and Swarm Intelligence Optimization by Yuze Duan, Zuping Tang, Jiaolong Wei, Jie Sun, Kaixian Ying

“…Furthermore, an adaptive Dung Beetle Optimization (ADBO) algorithm is developed. By leveraging insights from fitness landscape analysis, the ADBO algorithm dynamically adjusts subpopulation proportions and the convergence factor while incorporating hybrid mutation strategies for effective adaptation to various types of optimization problems. …”
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Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

“…While numerous methods in the literature attempt to explain clustering results, the explanation rules provided by these models are fixed and sacrificing clustering quality for the sake of making the rules easier to understand. …”
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Energy-Based Optimal Ranking of the Interior Modes for Reduced-Order Models under Periodic Excitation by Ilaria Palomba, Dario Richiedei, Alberto Trevisani

“…The aim of the method is to provide an effective ranking of such modes and hence an optimal sequence according to which the interior modes should be progressively included to achieve a desired accuracy of the reduced-order model at the frequencies of interest, while keeping model dimensions to a minimum. …”
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Support Vector Regression-Based Optimization for Triple Friction Pendulum Bearings: Achieving Computational Efficiency by Mahnaz Akbarzaghi, Behrooz Ahmadi Nedushan, Hamed Tajammolian

“…Additionally, no single kernel function consistently outperforms others across all optimization problems within the SVR method. In this study, the Gaussian kernel yielded superior results for the peak floor acceleration objective, while the Matérn 5/2 kernel provided better performance for the inter-story drift objective. …”
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Adaptive RFID Data Scheduling Using Proximal Policy Optimization for Reducing Data Processing Latency by Guowei Guo, Xinsen Yang, Ziwei Liang, Zeli Xi, Ximei Zhan, Peisong Li

“…However, efficiently offloading the large volume of data generated by RFID tags to readers poses significant challenges, particularly in dynamic environments where static or rule-based offloading methods fall short. This paper presents a novel approach for dynamically offloading data using deep reinforcement learning, specifically employing the Proximal Policy Optimization (PPO) algorithm. …”
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Establishment and Comparison of Detection Methods for Ricin and Abrin Based on Their Depurination Activities by Lina Dong, Tingting Liu, Jiaxin Li, Cen Wang, Jing Lv, Jing Wang, Jinglin Wang, Shan Gao, Lin Kang, Wenwen Xin

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Bayesian Methods for Predicting the Shape of Chinese Yam in Terms of Key Diameters by Mitsunori Kayano, Koki Kyo, Mitsuru Hachiya

“…This paper proposes Bayesian methods for the shape estimation of Chinese yam (Dioscorea opposita) using a few key diameters of yam. …”
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Optimization of production layout, production process, and supply of materials to increase work productivity in Saramanta homemade by Ratih Setyaningrum, Firlinda Kirana Erthamevia, Sofi Dwi Febriana, Ananda Viona Islamay Setyanti

“…In previous studies, productivity optimization was only focused on layout planning, while this study discusses measuring supply chain performance to increase profits and product design to implementation of designed products. …”
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Constraint Learning-based Optimal Power Dispatch for Active Distribution Networks with Extremely Imbalanced Data by Yonghua Song, Ge Chen, Hongcai Zhang

“…Simulations confirm the benefits of the proposed method in achieving desirable optimality and feasibility while maintaining low computational complexity.…”
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Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping by Muhammad Hafizhir Ridha, Yulian Firmana Arifin, Ari Surya Abdi

“…These results demonstrated that optimizing GCP layout could significantly improve model precision while reducing fieldwork. …”
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Optimizing the Location of 5G Network Base Stations Taking into Account Intra-System Interference by Serhii Siden, Roman Tsarоv, Mohammed Jamal Salim, Kateryna Shulakova, Saad Malik Talha, Liliia Bodnar

“…A method is proposed for determining the number and optimal spatial coordinates of BSs in indoor environments, such as shopping malls or telemedicine centers, under random user distribution to ensure maximum coverage and network throughput while explicitly accounting for intra-system interference. …”
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A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles by Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen

“…To solve this problem, a topology optimization method, also called TO-A algorithm, is developed based on topology reconfiguration. …”
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A Transfer Matrix Norm-Based Framework for Multimaterial Topology Optimization: Methodology and MATLAB Implementation by Giacomo Galuppini, Paolo Venini

“…While the proposed method is inherently capable of addressing the dynamic response of multimaterial structures, this study focuses exclusively on static topology optimization. …”
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DGA-ACO: Enhanced Dynamic Genetic Algorithm—Ant Colony Optimization Path Planning for Agribots by Zhenpeng Zhang, Pengyu Li, Shanglei Chai, Yukang Cui, Yibin Tian

“…Simulations in different scenarios show that DGA-ACO outperforms Dijkstra, A*, genetic algorithm, ant colony optimization, and other state-of-the-art methods. It achieves shortened path lengths and improved motion smoothness while achieving a certain degree of dynamic obstacle avoidance in the global path-planning process.…”
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Auto-support: traction force constrained support structures optimization for bottom-up vat photopolymerization by Lingxin Cao, Xin Yan, Longdu Liu, Jikai Liu, Tengfei Jiang, Lin Lu

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RETRACTED: Temporal-Difference Graph-Based Optimization for High-Quality Reconstruction of MODIS NDVI Data by Shengtai Ji, Shuxin Han, Jiaxin Hu, Yuguang Li, Jing-Cheng Han

“…Regarding spatio-temporal NDVI data as a time-varying graph signal, the developed method utilized an optimization algorithm to maximize the spatial smoothness of temporal differences while preserving the spatial NDVI pattern. …”
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Advancing building façade design: digital fabrication of an optimized non-conventional roster brick prototype by Dalhar Susanto, Raisa Putri Alifa, Stefanie Aylien, Miktha Farid Alkadri

“…One approach to enhancing these factors is through non-conventional roster bricks, geometrically designed using parametric exploration in multi-objective optimization. Unlike conventional roster bricks, these innovative designs cannot be fabricated through conventional methods. …”
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Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment by Yinyun Yu, Wei Xu

“…Finally, the validity and feasibility of the model are verified by model simulation of actual orders of an enterprise. This method effectively realizes the optimal configuration of manufacturing resources in the cloud manufacturing environment, while maximizing the interests of both suppliers and demanders.…”
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Optimization of ore production scheduling strategy using NSGA-II-GRA in open-pit mining by ZhongQiang Chen, PingCheng Song, RunHan Liu, Qi Wang, YuMeng Shen

“…The optimization results indicate that, while achieving the optimization objectives, calcium oxide grade and production target achievement rate increased by 7% and 7.17%, respectively, while ore output increased by 16.7% and 20.5% under different price fluctuation intervals.…”
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