EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“… The Particle Swarm Optimization (PSO) algorithm, though simple and effective, faces challenges like premature convergence and local optima entrapment. …”
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Improved Online Kalman Smoothing Method for Ship Maneuvering Motion Data Using Expectation-Maximization Algorithm by Wancheng Yue, Junsheng Ren

“…Through iterative data assimilation, the algorithm adaptively calibrates noise distribution parameters while preserving motion smoothness, achieving superior accuracy in velocity and heading estimation compared to conventional Rauch–Tung–Striebel (RTS) smoothers. …”
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A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations by Intan Berlianty, Irwan Soejanto, Indun Titisariwati, Favian Ersanta Andhika Putra, Wahyu Tri Utami, Mohamad Kamil Insani

“…Fuzzy Logic processes this data, while GA optimizes the system's parameters for enhanced accuracy and adaptability. …”
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Applying a Hybrid Gray Wolf-Enhanced Whale Optimization Algorithm to the Capacitated Vehicle Routing Problem by Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang

“…The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). …”
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Autonomous Decision-Making for Air Gaming Based on Position Weight-Based Particle Swarm Optimization Algorithm by Anqi Xu, Hui Li, Yun Hong, Guoji Liu

“…To verify the effectiveness of the optimization, a 6v6 aircraft gaming simulation example is provided for comparison, and the experimental results show that the convergence speed of the optimized PW-PSO algorithm is 56.34% higher than that of the traditional PSO; therefore, the algorithm can improve the speed of decision-making while meeting the performance requirements.…”
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Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets by Ryan Marks, Alastair Clarke, Carol A Featherston, Rhys Pullin

“…Efficient sensor network optimization was achieved using a bespoke genetic algorithm for different network sizes with the effectiveness assessed and discussed. …”
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Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information by G. Grzeczkowicz, G. Grzeczkowicz, B. Vallet

“…The resulting structured mesh efficiently reduces memory requirements while maintaining accuracy, offering a practical solution for simulations and urban analyses that require structured 3D data.…”
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Closing Price Prediction of Cryptocurrencies BTC, LTC, and ETH Using a Hybrid ARIMA-LSTM Algorithm by Jherson S. Ruiz-Lopez, Miguel Jiménez-Carrión

“…The methodology includes an exploratory data analysis, followed by the design, implementation, and evaluation of each individual algorithm as well as the combined hybrid algorithm. …”
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Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms by Jing Huang, Harwati Hashim, Helmi Norman, Mohammad Hafiz Zaini, Xiaojun Zhang

“…Experimental results indicate that the proposed system achieves an accuracy of 74.89% in identifying inappropriate behaviors while also reducing manual behavior logging time by 47% and contributing to a 63% decrease in such behaviors. …”
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The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal by Ivana Miháliková, Michal Krejčí, Martin Friák

“…We observed that while both algorithms offer promising results, the choice of ansatz and hyperparameter tuning were especially critical in achieving reliable outcomes, particularly for higher energy states. …”
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Penyelesaian Container Stowage Problem untuk Kontainer Ukuran 20 Feet menggunakan Whale Optimization Algorithm by Quinn Nathania PJY, Asri Bekti Pratiwi, Herry Suprajitno

“…This paper has purpose to solve Container Stowage Problem (CSP) for 20 feet container using Whale Optimization Algorithm (WOA). CSP is a problem discussing about how to stowage a container on the ship where the purpose to minimize the unloading time. …”
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Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algorithm by Jie Cao, Cuicui Zhang, Ping Qi, Kekun Hu

“…Simulation results demonstrate that the proposed virtual machine allocation algorithm improves service utility by more than 20% compared to other virtual machine allocation algorithms, significantly enhancing service utility in edge cloud environments while maintaining robust QoS guarantees.…”
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Development of a machine learning algorithm for geometric compensation of Single Point Incremental Forming (SPIF) process by Gralha Margarida F., Magrinho João P. G., Sousa João M. C., Silva M. Beatriz

“…The algorithm's performance will be validated through the production of fixed and variable-angled cones and pyramids using AW6082-O aluminium sheets. …”
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An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing by Chenxuan Duan, Hongyuan Liu, Xiaona Wu, Jian Tang, Zhejun Feng, Changqing Cao

“…Compared to conventional algorithms, this algorithm utilizes prior information to improve estimation accuracy while significantly reducing computational complexity. …”
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Underwater Acoustic Communication by a Single-Vector Sensor: Performance Comparison Using Three Different Algorithms by Long-xiang Guo, Xiao Han, Jing-wei Yin, Xue-song Yu

“…The three algorithms are P-DFE, B-DFE, and T-DFE, respectively. …”
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A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking by Knud Thomsen

“…A topical challenge for algorithms in general and for automatic image categorization and generation in particular is presented in the form of a drawing for AI to “understand”. …”
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A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction by Rakibul Islam, Azrin Sultana, MD. Nuruzzaman Tuhin

“…The model proposed in this study achieved the best level of accuracy while employing the ETC with the TPE approach, with a recorded accuracy of 95.8%.…”
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Identification Algorithm for Inner Surface of Bowl shaped Broken Pieces Based on Point Cloud Proportion and Smoothness by SUN Jin, DING Yu, WANG Ning, XI Juntong, ZHU Xinglong

“…The bowlshaped broken pieces reassembly algorithm based on the inner surface characteristics can effectively avoid the over segmentation problem caused by the fracture surface, while the difficulty lies in the accurate extraction of inner surface Therefore, an identification algorithm for inner surface of bowlshaped broken pieces based on point cloud proportion and smoothness is proposed Firstly, the surface of bowlshaped broken pieces is divided into fracture surface, bottom surface, original surface, inner surface and outer surface based on the region growing algorithm And then, according to the significant difference of point cloud proportion, the inner surface and outer surface are identified from the segmented surface group Finally, the inner surface is extracted by the smoothness value The experimental results show that this algorithm can accurately extract the inner surface of bowlshaped broken pieces and has a higher calculation speed than other algorithm…”
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Fractional Order PID Controller Based‐Neural Network Algorithm for LFC in Multi‐Area Power Systems by Ali M. El‐Rifaie, Slim Abid, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Traditional PID controllers, while widely utilized, struggle to address the rapid fluctuations and uncertainties inherent in contemporary multi‐area interconnected power systems (MAIPS). …”
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Research on the construction of English vocabulary learning recommendation system based on multi-objective crow search algorithm by Mengli Li

“…Regarding the experiments, we compared MOCSO with traditional single - objective optimization algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). 56.4 % of users believe that the recommended vocabulary content meets their deep learning needs, while 18.2 % of learners hope that the system can further improve the practical application ability of vocabulary. …”
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