Implementing a dung beetle optimization algorithm enhanced with multi-strategy fusion techniques by xiaojie zhou, Majid Khan Majahar Ali, Farah Aini Abdullah, Lili Wu, Ying Tian, Tao Li, Kaihui Li

“…To address these limitations, this study introduces a multi-strategy improved dung beetle optimization algorithm (CDBO). Initially, the golden sine method is implemented during the rolling phase to improve the algorithm’s capacity for both late area mining and early broad exploration; Then, in order to move the population closer to the ideal location during the foraging phase, the self-spiral method of the whale optimization algorithm is adopted. …”
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Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…As per the simulation data, the SF-BOA approach is much appropriate and suitable than other compared algorithms like Harris Hawks Optimization (HHO), Whale optimization algorithm, Marine Predator Algorithm (MPA), Multi Group Marine Predator Algorithm (MGMPA).…”
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Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection by Ting Cai, Fan Ma, Zhiwei Ye, Wen Zhou, Mingwei Wang, Qiyi He, Hu Pan, Jun Shen

“…DSHBO achieves the best average classification accuracy (ACA) on 7 datasets and the best highest classification accuracy (HCA) on 10 datasets, significantly surpassing the comparison algorithms. In addition, the proposed DSMHBO is compared with newly proposed algorithms, such as whale optimization algorithm (WOA) and Harris hawk optimization algorithm(HHO) over 10 datasets. …”
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Study on network reconfiguration algorithms in software-defined sensor networks by Lian-feng SHEN, Ya-ping ZHU, Zhao-ming DING, Feng YAN, Shu-guang DENG

“…In order to improve the performances and adaptabilities of wireless sensor networks the architecture of soft-ware-defined sensor network (SDSN) was proposed and the studies were focused on the network reconfiguration algo-rithm of SDSN. In the algorithm, the theory of Voronoi diagram was first used to search the optimal allocation of sensing radius to achieve K-coverage on the target region. …”
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An interior proximal gradient method for nonconvex optimization by De Marchi, Alberto, Themelis, Andreas

“…While traditional IP methods cannot cope with nonsmooth objective functions and proximal algorithms cannot handle complicated constraints, their combined usage is shown to successfully compensate the respective shortcomings. …”
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Ship Formation and Route Optimization Design Based on Improved PSO and D-P Algorithm by Peilong Xu, Dan Lan, Haolin Yang, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…Based on this, a ship formation model combining improved particle swarm optimization algorithm and a generative route optimization method based on improved Douglas-Peucker algorithm are proposed. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR CUTTING MECHANISM OF ROADHEADER BASED ON IMPROVED GENETIC ALGORITHM by MAO Jun, PAN DeWen, XIE Miao, ZHENG GuangHui

“…This paper takes motion parameters and structure parameters of cutting mechanism for design variables and optimizes multi-objective function of comprehensive performance of cutting mechanism based on the improved genetic algorithm. …”
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Pressure sensor placement in water distribution networks based on enhanced Rafflesia optimization algorithm by Yu‐Chung Huang, Qingyong Yang, Shu‐Chuan Chu, Jeng‐Shyang Pan

“…This letter proposes an enhanced Rafflesia optimization algorithm (EROA) to solve this problem. …”
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Neutrosophic Simulated Annealing Algorithm and Its Application in Operation Optimization in Dangerous Goods Warehouse by Fangwei Zhang, Zhenrui Chen, Jun Ye, Bing Han

“…The biggest contribution of this study is to propose a novel entropy measurement method using the NFS and combine it with the simulated annealing algorithm to handle the optimization process. Finally, the effectiveness of the novel algorithm is verified by an example of warehouse optimization.…”
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A novel elite guidance-based social learning particle swarm optimization algorithm by QI Cheng, XIE Junwei, WANG Xue, FENG Weike, ZHANG Haowei

“…To improve the premature convergence and poor global search capability of the classical particle swarm algorithm(PSO), this paper proposes a novel elite guidance-based social learning particle swarm optimization (ESLPSO) algorithm. …”
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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

“…ENVBO finds solutions for the entire domain of the environmental variable that outperform results from optimization algorithms that only focus on a fixed environmental value in all but one case while using a fraction of their evaluation budget. …”
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Multicluster Distributed Optimization Strategy for Turbine Wake Environment by Zhenping Yu, Xinmeng Zhou, Yedong Huang, Kunyu Zhou, Guangming Cui, Juntian Qu

“…The experimental results demonstrate that the proposed algorithm can effectively improve the computational efficiency of wake optimization, while ensuring the effect of the wake optimization algorithm in actual wind farms as much as possible, which is more in line with the wake optimization needs of actual wind farms. …”
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Hybrid CNN-Transformer-WOA model with XGBoost-SHAP feature selection for arrhythmia risk prediction in acute myocardial infarction patients by Li Li, Wenjun Ren, Yuying Lei, Lixia Xu, Xiaohui Ning

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Intelligent Operation and Maintenance of Wind Turbines Gearboxes via Digital Twin and Multi-Source Data Fusion by Tiantian Xu, Xuedong Zhang, Wenlei Sun, Binkai Wang

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Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions by Yuxiang Guo, Qiang Han, Tan Li, Huichu Fu, Meng Liang, Siwei Zhang

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Advanced machine learning techniques for predicting compressive strength and ultrasonic pulse velocity of concrete incorporating industrial by-products by Ehsan Mohsennia, Alireza Javid, Vahab Toufigh

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Optimization of Intelligent Maintenance System in Smart Factory Using State Space Search Algorithm by Nuttawan Thongtam, Sukree Sinthupinyo, Achara Chandrachai

“…By integrating with SSS algorithms, the IMS presents optimized maintenance cycle solutions to the maintenance manager, focusing on minimizing costs while maximizing the remaining lifetime of the equipment. …”
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Optimizing Smart Manufacturing Processes and Human Resource Management through Machine Learning Algorithms by Deden Komar Priatna, Winna Roswinna, Nandan Limakrisna, Azam Khalikov, Diyorjon Abdullaev, Layth Hussein

“…This study developed and implemented a comprehensive machine learning framework that optimizes manufacturing processes while effectively integrating human resource capabilities across 50 manufacturing facilities in Uzbekistan's automotive, textile, and food processing sectors. …”
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Enhanced zebra optimization algorithm for sustainable combined economic and emission dispatch in power systems by Ahmed Arkwazee, Rana Abttan

“…The Combined Economic Emission Dispatch (CEED) problem is crucial for optimizing power system operation by minimizing costs and emissions while ensuring grid stability and meeting demand. …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm's convergence. …”
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