An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm by Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du

“…This paper proposes an improved feature selection method based on an improved Slime Mould Algorithm (SMA), called the Triangular Mutation Rule Restart Strategy Slime Mould Algorithm (TRSMA), to overcome some of the shortcomings of the SMA, including premature convergence, poor population diversity, and local optima entrapment. …”
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The effect of different initial solutions on the metaheuristic algorithms for the single allocation p-hub center and routing problem by Abdul Kader Kassoumeh, Zühal Kartal, Ahmet Arslan

“…This article introduces methods for initializing a single-trajectory-based metaheuristic, specifically a simulated annealing (SA) algorithm, using constructive heuristics. These methods are designed to target promising regions within the search space of an nondeterministic polynomial time (NP)-hard problem, namely the single allocation p-hub center and routing problem. …”
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Research on Multi-Center Path Optimization for Emergency Events Based on an Improved Particle Swarm Optimization Algorithm by Zeyu Zou, Hui Zeng, Xiaodong Zheng, Junming Chen

“…To solve this complex optimization problem, a hybrid algorithm combining genetic algorithms and particle swarm optimization was designed. …”
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Augmentation and Classification of Requests in Moroccan Dialect to Improve Quality of Public Service: A Comparative Study of Algorithms by Hajar Zaidani, Rim Koulali, Abderrahim Maizate, Mohamed Ouzzif

“…Finally, we propose a chatbot system architecture for deploying the most efficient classification algorithm. This solution also contains a voice assistant system that can contribute to the social inclusion of illiterate people. …”
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Multi objective optimization algorithm for hybrid quantum harmonic oscillator and its application in rotor system optimization by Jun Li, Hal Gurgenci, Zhiqiang Guan, Jiaxin Wang, Junwen Chen, Chen Wang, Zhenyu Huang

“…Lobal optimization methods based on multi-scale quantum harmonic oscillator algorithm and genetic algorithm are used, and the extent to which the non-dominated solution of objective function interactions is appropriately captured by the different algorithm models is explored. …”
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An improved multi-objective artificial physics optimization algorithm based on R2 indicator and its application by Bao Sun, Yihong Chang, Min Gao, Zhanlong Li, Jiankang Liu, Jinbin Wang

“…To evaluate the performance of the R2-ICRMOAPO algorithm, we compared it with four other multi-objective optimization algorithms using standard test functions. …”
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Artificial Intelligence Algorithms in Asthma Management: A Review of Data Engineering, Predictive Models, and Future Implications by Shayma Alkobaisi, Muhammad Farhan Safdar, Piotr Pałka, Najah Abed Abu Ali

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Connectivity-Enhanced 3D Deployment Algorithm for Multiple UAVs in Space–Air–Ground Integrated Network by Shaoxiong Guo, Li Zhou, Shijie Liang, Kuo Cao, Zhiqun Song

“…Extensive simulations indicate that the proposed algorithm achieves faster deployment and higher coverage under both random and clustered distribution scenarios of GUs, while also enhancing the robustness and load balance of the UAV network.…”
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Compressive sensing and DNA coding operation: Revolutionary approach to colour medical image compression‐encryption algorithm by Xianglian Xue, Haiyan Jin, Changjun Zhou

“…However, when transmitting these high‐capacity images, doctors and researchers must not only address the challenges of storage and transmission efficiency but also guard against unauthorized access and data security risks. …”
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Towards efficient image segmentation: A fuzzy entropy-based approach using the snake optimizer algorithm by A. Tamilarasan, D. Rajamani

“…The computational efficiency of the SO is also highlighted, with lower average CPU times, achieving 3.1217 s for the 'Ostrich' image at 2 thresholds, compared to SSA (3.1298), GWO (3.8539), and MFO (3.9343).Statistical analysis using Wilcoxon rank-sum tests further confirms the significant performance advantages of the SO algorithm, establishing it as a robust and effective solution for multilevel thresholding in image segmentation tasks.…”
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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…Evaluation metrics showed that prediction accuracy increased significantly with crafted features in comparison to basic features for all four models. We also showcased the ability of the Polar Bear Optimisation (PBO) algorithm for hyperparameter tuning of the machine learning models in STLF. …”
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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

“…The algorithms examined include support vector machine (SVM), decision tree (DT), random forest (RF), linear regression (LR), extreme gradient boosting (XGBoost), and k-nearest neighbors (KNN). …”
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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…In view of the issues of high complexity, significant computational resource consumption, and slow inference speed in the detection algorithm for grape leaf diseases, this paper proposes GCS-YOLO, a lightweight detection algorithm based on an improved YOLOv8. …”
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Development of Decline Curve Analysis Parameters for Tight Oil Wells Using a Machine Learning Algorithm by Weirong Li, Zhenzhen Dong, John W. Lee, Xianlin Ma, Shihao Qian

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A Novel Dataset and Detection Method for Unmanned Aerial Vehicles Using an Improved YOLOv9 Algorithm by Depeng Gao, Jianlin Tang, Hongqi Li, Bingshu Wang, Jianlin Qiu, Shuxi Chen, Xiangxiang Mei

“…In addition to UAVs, this dataset also contains three other types of flying objects that are visually similar to the UAV targets: planes, helicopters, and birds. …”
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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining by Tianyue Niu, Ting Liu, Yiming Taclis Luo, Patrick Cheong-Iao Pang, Shuaishuai Huang, Ao Xiang

“…The results reveal that self-perception and parental expectations have a certain impact on students’ cognitive abilities, as indicated by all algorithms. Our work also uncovers that different explainability algorithms exhibit varying preferences and inclinations when interpreting the model, as evidenced by discrepancies in the top ten features highlighted by each algorithm. …”
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Power System State Estimation through Optimal PMU Placement and Neural Network using Whale Algorithm by SeyedHamed MirMohammadAli Roudaki, Mehrdad Abedi, Iraj Pourkeivani

“…The present paper, describes the general framework of state estimation in power networks. Also, in the present study linear state estimation method accompanied by optimal placement for Phasor Measurement Unit (PMU) for complete observability and artificial neural network (ANN) trained by Whale Optimization Algorithm (WOA) is employed. …”
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Model-Free Predictive Control Based on RLS Algorithm for Grid-Forming Inverters With Virtual Synchronous Generator by Min Huang, Huiying Zhang, Kangan Wang, Zhilei Yao, Weimin Wu

“…Building on this, the improvement schemes of algorithmic parameter initialization, delay compensation and current limiting capability are further investigated. …”
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A Secure Lightweight Cryptographic Algorithm for the Internet of Things (IoT) Based on Deoxyribonucleic Acid (DNA) Sequences by Archana S Nadhan, Jeena Jacob I

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A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing by Julio Juárez, Jesús Guillermo Falcón-Cardona, José Carlos Ortiz-Bayliss

“…Due to the complexity of the problem, exact algorithms are often impractical for large instances, which has led to a reliance on tailored heuristics that may perform well on some instances but poorly on others. …”
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