A Knee Point-Driven Many-Objective Evolutionary Algorithm with Adaptive Switching Mechanism by Maowei He, Xu Wang, Hanning Chen, Xuguang Li

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Image processing algorithm of visual communication design based on deep learning in digital background by Xugang Hou, Qian Liu, Xiaoying Zhang

“…Experimental results demonstrate that this algorithm performs excellently in processing efficiency and user experience compared to traditional methods. …”
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The Moving Average Algorithm for Forecasting Palm Oil Fresh Fruit Bunch (FFB) Prices by Zaid Ubay Siregar, Heri Santoso

“…The method used in this research is a quantitative approach with descriptive methods, applying the Moving Average algorithm. …”
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Solution for Forward Kinematics of Parallel Mechanism based on PSO-BPNN and Newton-Raphson Algorithm by Qiguo Hu, Yanli Luo, Lijie Cao, Jun Zhang

“…Taking parallel mechanism as a research object， aiming at the problem that neural network algorithm is easy to fall into local optimization and the Newton-Raphson algorithm is sensitive to the initial value of iteration when solving forward kinematics， a general forward kinematics algorithm combining PSO-BPNN and Newton-Raphson algorithm is proposed. …”
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Optimization and Scheduling of Integrated Energy Systems with Hydrogen-electricity Coupling Based on PKO Algorithm by Wenli QIN, Na RONG, Xingyan LIU

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Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia by Angwach Abrham Asnake, Alemayehu Kasu Gebrehana, Hiwot Altaye Asebe, Beminate Lemma Seifu, Bezawit Melak Fente, Meklit Melaku Bezie, Mamaru Melkam, Sintayehu Simie Tsega, Yohannes Mekuria Negussie, Zufan Alamrie Asmare

“…Machine learning is more effective and offers a better solution as it can capture complex and non-linear relationships in the data, leading to improved prediction accuracy compared to traditional regression models. Therefore, this study employed machine learning algorithms to predict abortion in Ethiopia and identify its predictors using nationally representative data. …”
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HYBRID FIREFLY AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DESIGN OF NON-LINEAR CHANNEL EQUALIZER by Vundavalli Ravindra, Pradyumna Kumar Mohapatra, Ravi Narayan Panda, Saroja Kumar Rout

“…This hybrid technique combines the concepts of both the algorithms to create fresh population. In this research, an innovative straegy plan for LeNN equalisers utilising FF-PSO is proposed. …”
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SAMFA: A Flame Segmentation Algorithm for Infrared and Visible Aerial Images in the Same Scene by Jianye Yuan, Min Yang, Haofei Wang, Xinwang Ding, Song Li, Wei Gong

“…Lastly, to reduce the training difficulty, a progressive strategy combining self-supervised and fully supervised learning is employed to optimize the entire model. We compared SAMFA with five state-of-the-art image segmentation algorithms on a labeled public dataset, and the experimental results demonstrate that SAMFA performs the best. …”
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Productivity Improvement of Garments Industry by Implementing Line Balancing Algorithms—A Case Study by Mst. Anjuman Ara, Nafisa Anjum, Dilir Ahbab, Mushfica Takia Sidiika, Risat Rimi Chowdhury

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Enhanced lightweight infrared object detection algorithm for assistive navigation in visually impaired individuals by Zhimin Bai, Yang Yang, Jian Wang, Zhengyang Li, Jiajun Wang, Chunxin Liu

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CF-YOLO for small target detection in drone imagery based on YOLOv11 algorithm by Chengcheng Wang, Yuqi Han, Chenggui Yang, Mingjie Wu, Zaiqing Chen, Lijun Yun, Xuesong Jin

“…Abstract Images captured from a drone’s perspective are significantly impacted in terms of target detection algorithm performance due to the notable differences in target scales and the presence of numerous small target objects lacking detailed information. …”
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Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…However, the applicability of the model in different industry scenarios still needs to be verified by further research.…”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology by behnam golshahi, Abbasli Rastgar, Davood Feiz, Azim Zarei

“…Finally, based on the hybrid algorithm of the methodology of soft systems and cognitive mapping, a model of the factors contributing to the optimization of the talent life cycle is presented and then, by comparing the factors in thinking system (conceptual model) with real-world actions (INEF), it is suggested that structural, behavioral, and ground changes be made to optimize the talent lifecycle at the National Elite Foundation.…”
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A novel robust multi-objective evolutionary optimization algorithm based on surviving rate by Wenxiang Jiang, Kai Gao, Shuwei Zhu, Lihong Xu

“…Despite the success of multi-objective evolutionary optimization algorithms in addressing complex optimization problems, research focusing on input disturbances remains limited. …”
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Determination of the Optimal Algorithm for the Operation of a Hybrid Power System with a Regulating Generator by Kuznetsov N., Lysenko O.

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Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…The results showed that the accuracy of the Random Forest algorithm without feature selection obtained an accuracy of 86%, compared to the random forest algorithm with feature selection using the Backward Elimination method obtained a higher accuracy of 88%. …”
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Comparison of Particle Swarm Optimization Algorithms in Hyperparameter Optimization Problem of Multi Layered Perceptron by Kenta Shiomi, Tetsuya Sato, Eisuke Kita

“…The wine dataset is taken as a numerical example and hyperparameters of MLP the model are determined by the above-mentioned PSO algorithms. The sets of hyperparameters determined by these PSO algorithms are compared with the results of the traditional algorithms for hyperparameter optimization such as random search, tree-structured Parzen estimator (TPE), and covariance matrix adaptation evolution strategy (CMA-ES). …”
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Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles by Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu

“…Considering the complexity and variability inherent in maritime environments, path planning algorithms for navigation have consistently been a subject of intense research interest. …”
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A Novel Proposed Algorithm to Enhance the Overcurrent Relays’ Performance in Active Distribution Networks by Sally El-Tawab, Hassan S. Mohamed, A. M. Abdel-Aziz

“…The results of the proposed algorithm are compared with those obtained from other recent metaheuristic techniques. …”
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