An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO by Xiaofeng Lv, Deyun Zhou, Yongchuan Tang, Ling Ma

“…The improved chaotic discrete particle swarm optimization (PSO) algorithm is adopted to solve the improved test selection optimization model. …”
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Design of Signal Timing Plan for Urban Signalized Networks including Left Turn Prohibition by Qinrui Tang, Bernhard Friedrich

“…The optimal list of prohibited left turns was found using a genetic algorithm, and a combination of several algorithms was employed for the signal timing plan. …”
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Vibration Fatigue Life Prediction and Parameter Optimization of Roadheader Picks by He Yang, Li Xiaohuo, Xi Yabing

“…The corner of the pick is defined as the optimization objective based on particle swarm optimization algorithm, the optimal corner value is obtained, and the life of the picks is increased by an order of magnitude. …”
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FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM by BAO Jie, JING Bo, JIAO XiaoXuan, ZHANG QingYi, ZHANG Yu

“…Compared with BP neural network, SVM optimized by particle swarm optimization（PSO） and SVM optimized by genetic algorithm（GA）, the results showed that the model of SVM diagnosis optimized by GA has the advantages of fast training, high accuracy and short time-effect, and it has good engineering application value.…”
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A Vehicle Parking Detection Method Based on Correlation of Magnetic Signals by Hongmei Zhu, Fengqi Yu

“…One of the primary factors that affect the accuracy of the NCC-based detection is the choice of reference which is obtained by using a k -means clustering algorithm in this paper. Compared with the-state-of-the-art vehicle detection methods, the proposed method is competitive in terms of cost, accuracy, and complexity. …”
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Instability in Stable Marriage Problem: Matching Unequally Numbered Men and Women by Gui-Yuan Shi, Yi-Xiu Kong, Bo-Lun Chen, Guang-Hui Yuan, Rui-Jie Wu

“…Theoretical analysis and numerical simulations confirm that even a small deviation on the number of men and women from the equality condition can have a large impact on the matching solution of the Gale-Shapley algorithm. These results provide insights to many of the real-world applications when matching two sides with an unequal number.…”
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Parallel Calculation of Random Vibration for Reentry Vehicles in Fluctuating Pressure Environment by Xuanhua Fan, Jun Liang, Keying Wang, Huan Zhou

“…Finally, this article also uses typical examples to verify the correctness and parallel scalability of algorithms and programs.…”
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Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

“…To cope with the impact of different device computing capabilities and non-independent uniformly distributed data on federated learning performance, and to efficiently schedule terminal devices to complete model aggregation, a method of node selection based on deep reinforcement learning was proposed.It considered training quality and efficiency of heterogeneous terminal devices, and filtrate malicious nodes to guarantee higher model accuracy and shorter training delay of federated learning.Firstly, according to characteristics of model distributed training in federated learning, a node selection system model based on deep reinforcement learning was constructed.Secondly, considering such factors as device training delay, model transmission delay and accuracy, an optimization model of accuracy for node selection was proposed.Finally, the problem model was constructed as a Markov decision process and a node selection algorithm based on distributed proximal strategy optimization was designed to obtain a reasonable set of devices before each training iteration to complete model aggregation.Simulation results demonstrate that the proposed method significantly improves the accuracy and training speed of federated learning, and its convergence and robustness are also well.…”
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Analysis of Student Satisfaction with Google Scholar Services as Reference using the Delone and Mclean Method by Nur Fitria Mita Permata, Syaifullah Syaifullah, Tengku Khairil Ahsyar, Muhammad Jazman

“…Nevertheless, challenges such as technical glitches in Google Scholar's servers, internet connection problems, restricted or paid access to articles, and the search algorithm's potential misinterpretation of user queries can occur. …”
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A compact dual-grating wavemeter using signal processing by Yiming Wang, Yi Ma, Yu Huang, Zhanfeng Li, Xiaohu Yang

“…By applying the Multiple Signal Classification (MUSIC) algorithm to process the sampled Talbot patterns and reconstruct the spectrum, we have demonstrated through simulations the capability to enhance spectral resolution. …”
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A Cable Defect Assessment Method Based on a Mixed-Domain Multi-Feature Set of Overall Harmonic Signals by Ruidong Wang, Ruzheng Pan

“…To optimize the assessment performance, a Support Vector Machine (SVM) classifier optimized by the Sparrow Search Algorithm (SSA) was constructed. The results show that different defects lead to significantly differentiated harmonic distortions in the grounding currents, which has proved to be a reliable data basis for cable defect assessment. …”
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Kinematic Analysis and Optimization Design of 2-CPR/UPU Three Translation Parallel Mechanism by Li Lihong, Zhang Fahai, Zhu Lei

“…Finally, the global dexterity of the mechanism is taken as the target of configuration optimization and the optimization of size parameters is carried out by the grasshopper optimization algorithm(GOA). It provides theoretical reference for the structural design and high precision position control of the parallel mechanism.…”
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High-Voltage Topological Architecture-Based Energy Management Strategy of the Plug-In Hybrid Powertrain System by Ziliang Zhao, Jun Zhao, Bin Guo, Rifei Lai

“…Energy management is the core algorithm of hybrid electric vehicle control strategy, and it is the focus of current research. …”
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Fuzzy Robust Modification Design of EMU Transmission Gear by Ziqiang Sheng, Yuedong Wang, Xiaoning Bai, Shenxuan Wang

“…On this basis， the fuzzy theory is introduced， the mathematical model of gear modification robust optimization is established based on improved tolerance model， the NSGA-III algorithm is used to find the optimal solution， and the comparison with other modification schemes is completed. …”
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Adaptive Controller Design for Improving Helicopter Flying Qualities by Wei Wu

“…In online system identification module, a recursive extended least squares algorithm is established to identify the augmented linear flight dynamics model which is composed of helicopter model and unideal noise model. …”
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A Hybrid Sales Forecasting Scheme by Combining Independent Component Analysis with K-Means Clustering and Support Vector Regression by Chi-Jie Lu, Chi-Chang Chang

“…The extracted features are then applied to K-means algorithm for clustering the sales data into several disjoined clusters. …”
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A Hybrid Method to Predict the Remaining Useful Life of Scroll Wheel of Control Rod Drive Mechanism by Kang Zhu, Xinwen Zhao, Liming Zhang, Hang Yu

“…First, the particle filtering algorithm, whose state transfer equation is established on the segmental damage physical model, is used to predict the degradation state of the scroll wheel. …”
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Discrete Second-Order Sliding Mode Adaptive Controller Based on Characteristic Model for Servo Systems by Zhihong Wang, Yifei Wu, Wei Chen, Xiang Wang, Jian Guo, Qingwei Chen

“…Secondly, the recursive least square algorithm is adopted to identify time-varying parameters in characteristic model, and the observer is applied to predict the command value of next sample time. …”
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Peer-to-Peer Multicasting Inspired by Huffman Coding by Bartosz Polaczyk, Piotr Chołda, Andrzej Jajszczyk

“…The multicast tree construction is based on the Huffman source coding algorithm. First, a centrally managed version is presented, and then an effective use of a distributed paradigm is shown. …”
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Load Characteristics and Modeling Methods for the Flow Regulator of a Solid Ducted Rocket by An Wang, Qinghua Zeng

“…Through the use of the genetic algorithm, the rotational inertia and parameters of the system load and working load were identified by stages. …”
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