Distributed hybrid energy storage photovoltaic microgrid control based on MPPT algorithm and equilibrium control strategy by Yanlong Qi, Rui Liu, Haisheng Lin, Junchen Zhong, Zhen Chen

“…In the performance comparison analysis of the research algorithm, the average accuracy and average loss value of the algorithm were 98.2% and 0.15, respectively, which were significantly better than the compared algorithms. …”
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Protocol to denoise spatially resolved transcriptomics data utilizing optimal transport-based gene filtering algorithm by Lin Du, Jingmin Kang, Jie Li, Hua Qin, Yong Hou, Hai-Xi Sun

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A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning by Bei Liu, Yuefeng Cai, Duantengchuan Li, Ke Lin, Guanghui Xu

“…However, existing path planning algorithms often encounter problems such as high computational costs and a tendency to become trapped in local optima in complex 3D environments with multiple constraints. …”
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Research on collaborative scheduling strategies of multi-agent agricultural machinery groups by Ziyi Wang, Fan Zhang, Shiji Ma, Hailong Wang, Shunyao Zhang, Xiaozhong Gao

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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network by Rahimullah Rabih, Hamed Vahdat-Nejad, Wathiq Mansoor, Javad Hassannataj Joloudari

“…This approach involves combining the Local outlier factor (LOF) algorithm for outlier detection and the Convolutional neural network (CNN) for classification. …”
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Path planning of intelligent tennis ball picking robot integrating twin network target tracking algorithm by Zegang Wang

“…However, the real-time tracking of targets in existing intelligent robot path planning is poor and susceptible to becoming entrenched in local optimal solutions. Therefore, this study proposes an intelligent tennis ball picking robot path planning method that integrates a twin network object tracking algorithm. …”
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Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints by Yong Yang, Yujie Fu, Runpeng Xin, Weiqi Feng, Kaijun Xu

“…These enhancements significantly strengthen the global search capability and convergence performance of the algorithm. For upper layer task assignment, the improved ALNS (IALNS) addresses local optima issues in complex constraints. …”
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Multi-UAV Path Planning for Air-Ground Relay Communication Based on Mix-Greedy MAPPO Algorithm by Yiquan Wang, Yan Cui, Yu Yang, Zhaodong Li, Xing Cui

“…With the continuous development of modern UAV technology and communication technology, UAV-to-ground communication relay has become a research hotspot. In this paper, a Multi-Agent Reinforcement Learning (MARL) method based on the ε-greedy strategy and multi-agent proximal policy optimization (MAPPO) algorithm is proposed to address the local optimization problem, improving the communication efficiency and task execution capability of UAV cluster control. …”
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Application of Decision Tree Algorithm in Determining the Quality of Processed Coffee Based on Consumer Preferences at Beskabean Coffee by M Arief Rahman

“…This research aims to apply the Decision Tree algorithm in determining the quality of processed Beskabean coffee based on consumer preferences. …”
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Application of sliding mode variable structure control algorithm in PMSM vector control system in complex environment. by Haoran Cui

“…Therefore, the contribution of the research is that the ASMC algorithm can suppress the chattering problem of the system and improve the approaching speed, thus improving the speed regulation quality of the system. …”
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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms by Hossam M. J. Mustafa, Masri Ayob

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Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Guofu Zhao

“…The hybrid algorithm can effectively improve the optimization efficiency of VRPTW, lay a foundation for solving large-scale VRPTW, and provide new research ideas and methods. …”
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A novel hybrid genetic algorithm and Nelder-Mead approach and it’s application for parameter estimation [version 3; peer review: 2 approved, 1 approved with reservations] by Neha Majhi, Rajashree Mishra

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Muloc: Multi-scale combination mask indoor localization network for WiFi based on channel state information by Haoyang Qi, Xin Song, Yuqi Zhang, Lanfeng Li, Zhiao Cao

“…Next, we propose a competitive localization network based on aggregated affinity propagation algorithm. …”
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AGV Scheduling and Energy Consumption Optimization in Automated Container Terminals Based on Variable Neighborhood Search Algorithm by Ning Zhao, Rongao Li, Xiaoming Yang

“…The algorithm introduces five types of operators and a random operator usage order to expand the search range and avoid local optima. …”
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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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Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach by Sogand Soghrati Ghasbeh, Nadia Pourmohammadzia, Masoud Rabbani

“…Design/methodology/approach – A hybrid algorithm of adaptive large neighborhood search (ALNS) and multi-dimensional local search (MDLS) is introduced to solve the problem. …”
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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

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Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

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Application of an improved ant colony optimization algorithm of hybrid strategies using scheduling for patient management in hospitals by Md. Limonur Rahman Lingkon, Md. Sazol Ahmmed

“…To balance the convergence speed and solution diversity and enhance optimization performance when addressing large-scale optimization problems, this research study presents an improved ant colony optimization (ICMPACO) technique. …”
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