Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

“…The GA component identifies the most relevant features, while LightGBM ensures high prediction accuracy and computational efficiency. …”
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Combining the Improved RGB Water-Filling Algorithm With Penumbra Removal Technique for Shadow Removal From Digitized Images by You-Chang Liu, Cheng-Ta Chuang

“…The proposed method introduces an RGB water-filling algorithm specifically designed to address soft shadows, optimized with matrix operations and a streamlined processing workflow that substantially enhance the computational efficiency over existing methods. …”
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User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm by Ilham Fannani, Enggar Novianto, Alfin Syarifuddin Syahab

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FOX-TSA hybrid algorithm: Advancing for superior predictive accuracy in tourism-driven multi-layer perceptron models by Sirwan A. Aula, Tarik A. Rashid

“…As the volume and complexity of tourism data increase, there is a need for optimization methods that enhance model training while effectively handling intricate datasets. This study proposes a hybrid FOX-TSA algorithm to optimize the MLP model. …”
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An Action Evaluation Method for Virtual Reality Simulation Power Training Based on an Improved Dynamic Time Warping Algorithm by Qingjie Xu, Yong Liu, Shuo Li

“…This method significantly reduces computational complexity while improving scoring accuracy and consistency. …”
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Integrated energy trading algorithm for source-grid-load-storage energy system based on distributed machine learning by Zhiwei Cui, Changming Mo, Qideng Luo, Chunli Zhou

“…Compared with other methods with a sensitivity of 25%, the sensitivity level of the improved algorithm was above 75%. When the accuracy of other algorithms was 50%, the improved algorithm was above 80%. …”
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A Rapid Convex Programming Method for Air-to-Air Missile Trajectory Based on Improved Trust-Region Algorithm by Zeng Yuwen, Zhang Huijun, Liao Xueyang

“…On this basis, this paper analyzes the traditional trust-region algorithm and proposes an improved algorithm. It adopts a two-phase solution strategy: the first phase addresses the terminal constraint violation caused by the reference trajectories, while the second phase achieves rapid convergence to the optimal trajectory, to significantly improve the solving efficiency and convergence stability of the convex optimization problem. …”
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Robust-tuning machine learning algorithms for precise prediction of permeability impairment due to CaCO3 deposition by Mohammad Javad Khodabakhshi, Masoud Bijani, Masoud Hasani

“…Instead of creating new algorithms, the study focuses on refining existing ones to make them more effective for the field. …”
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Fault Diagnosis System of Induction Motors Based on Multiscale Entropy and Support Vector Machine with Mutual Information Algorithm by Shuang Pan, Tian Han, Andy C. C. Tan, Tian Ran Lin

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An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems by Neda Hantash, Tamer Khatib, Maher Khammash

“…The minimum value of fitness losses using the applied algorithm is found to be 0.0.0406 while the average elapsed time is 62.2325 s. …”
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Multiscale Fuzzy Temporal Pattern Mining: A Block-Decomposition Algorithm for Partial Periodic Associations in Event Data by Aihua Zhu, Haote Zhang, Xingqian Chen, Dingkun Zhu

“…This paper introduces a dual-strategy model based on temporal transformation and fuzzy theory, and designs a partitioned mining algorithm for periodic frequent patterns in large-scale event data (3P-TFT). …”
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Comparative Analysis of Artificial Neural Networks and Evolutionary Algorithms in DEA-<i>β</i>-MSV Portfolio Optimization by Abdelouahed Hamdi, Arezou Karimi, Farshid Mehrdoust, Samir Brahim Belhaouari

“…The goal is to construct portfolios that achieve targeted returns while minimizing downside risk. The methodology comprises two stages: (1) identifying efficient stocks through DEA, where semivariance and beta (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula>) are employed as input risk metrics and the expected return serves as the output, and (2) determining optimal portfolio weights through the MSV model, solved using artificial neural networks (ANNs) and evolutionary algorithms. …”
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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization by Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

“…The proposed technique employs Legendre polynomials to parameterize two control actions (the feeding rates of glucose and xylose), and it uses a hybrid optimization algorithm combining Monte Carlo sampling with genetic algorithms for coefficient selection. …”
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Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm by Chia-Hung Wang, Kun Hu, Xiaojing Wu

“…Path planning is crucial for mobile robots, especially in multi-robot systems, requiring solutions that adapt quickly to changes while ensuring efficiency and robustness. Traditional algorithms often struggle with dynamic obstacles and maintaining diversity during search processes. …”
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Network Congestion Control Algorithm for Image Transmission—HRI and Visual Light Communications of an Autonomous Underwater Vehicle for Intervention by Salvador López-Barajas, Pedro J. Sanz, Raúl Marín-Prades, Juan Echagüe, Sebastian Realpe

“…Characterization of the VLC network was performed while the robot performed trajectories in the tank. …”
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A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm by G. Ramkumar, Satyajeet Sahoo, T. M. Amirthalakshmi, S. Ramesh, R. Thandaiah Prabu, Kasipandian Kasirajan, Antony V. Samrot, A. Ranjith

“…The variance of model uncertainty is computed in the first stage by using a learning algorithm to provide predictable PV power estimations. …”
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm by Dong Mo, Qiuwen Li, Yan Sun, Yixin Zhuo, Fangming Deng

“…Furthermore, Gaussian walk and Lévy flight are introduced to enhance the search capability of the proposed OGGWO algorithm. This method expands the search range while sacrificing only a small amount of search speed, contributing to obtaining the global optimal solution. …”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles by Fuxing Yao, Chao Sun, Bing Lu, Bo Wang, Haiyang Yu

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K-Nearest Neighbor and Naive Bayes Classifier Algorithm in Determining The Classification of Healthy Card Indonesia Giving to The Poor by Yofi Firdan Safri, Riza Arifudin, Much Aziz Muslim

“…This can be seen from the accuracy of determining the feasibility of K-Nearest Neighbor algorithm of 64%, while the combination of K-Nearest Neighbor-Naive Bayes Classifier algorithm is 96%, so the combination of K-Nearest Neighbor-Naive Bayes Classifier algorithm is the optimal algorithm in determining the feasibility of healthy Indonesian card recipients with an increase of 32% accuracy. …”
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An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering by Zhao Shi, Lingjiang Huang, Fengyuan Wu, Yong Lei, Huiying Wang, Zhiya Tang

“…This study investigates the application of an improved multi-threshold method based on the K-means algorithm for clutter filtering in W-band cloud and fog radar observations. …”
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