Improved PSO algorithm based on swarm prematurely degree and nonlinear periodic oscillating strategy by Xi-hua ZHU, Ying-hui LI, Ning LI, Bing-kui FAN

“…A novel particle swarm optimization algorithm was proposed, which was adaptive chaos particle swarm opti-mization algorithm based on swarm premature convergence degree and nonlinear periodic oscillating strategy. …”
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Research on Green Transport Mode of Chinese Bulk Cargo Based on Fourth-Party Logistics by Jixiao Wu, Yinghui Wang, Wenlu Li, Haixia Wu

“…This paper improves the particle swarm optimization algorithm to compare the integrated cost and carbon emissions of different bulk fourth-party transport networks to verify the benefits of the fourth-party logistics on bulk cargo transport networks’ cost reduction and emission reduction. …”
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Optimization Analysis of Large Workspace/Rod Length of 8-SPU Redundant Mechanism by Zhang Hanjie, Wan Xiaojin, Li Qinglei, Wang Kai

“…Finally,the ratio of the volume with stroke of the rod is taken as the objective function,and particle swarm optimization algorithm is used to get the maximum function value. …”
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Motion Trajectory Planning and Design of Material Spraying Service Robot by Gang Wang, Hongyuan Wen, Jun Feng, Jun Zhou

“…In view of this, this paper proposes an algorithm for modeling kinematics using a joint screw and optimizes the modeling algorithm using particle swarm optimization. This makes the industrial spraying robot more intelligent and more capable of completing high-standard tasks. …”
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Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis by Wangping Zhou, Rong Wang, Shenrong Xu

“…Comparing with Empirical mode decomposition （EMD） and VMD based on Particle swarm optimization （PSO）， simulation and experimental results show that the ABC-VMD method has strong adaptability， which can effectively avoid problems of mode mixing， signal loss and excessive decomposition. …”
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Gearbox Fault Diagnosis based on LMD Approximate Entropy and PSO-ELM by Zhang Yuxue, Pan Hongxia

“…Finally,the input weights of ELM and the threshold value of the hidden layer neurons are optimized by the particle swarm optimization algorithm,the model of PSO-ELM is established,and the approximate entropy values are input into the ELM and PSO-ELM models to recognize and classify the fault types of the gearbox of different conditions. …”
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Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology by Juan Li, Xianghong Tian, Jing Liu

“…The algorithm is used to solve the model, and the chaotic particle swarm optimization algorithm is used to maintain the particle diversity to complete the dynamic data scheduling of a flexible industrial job shop. …”
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Design of PMSM Dual-Loop Control Systems Integrating LADRC and PI Controllers via an Improved PSO Algorithm by Baoye Song, Ruoyu Wang, Lin Xu

“…An improved particle swarm optimization (PSO) algorithm is applied to optimize the controller parameters, thereby enhancing the overall system performance. …”
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The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks by Nyoman Gunantara, I Dewa Nyoman Nurweda Putra

“…This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. …”
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Design of Flexible Constant Force Manipulator based on Metamorphic Mechanism Transform by Chen Xiaodong Deng Zilong Gao Xingjun Hu Siya

“…Finally, the theoretical output force is calculated according to the principle of virtual work, and the constant force range is found by particle swarm optimization. The device does not need to install force sensors, and does not need a control system to achieve constant force clamping of the manipulator and has self-adaptability. …”
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System by Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou

“…First of all, use the particle swarm optimization algorithm based on Levenberg–Marquardt (LM) to optimize parameters in the FWNN controller. …”
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Control Design of the Wave Compensation System Based on the Genetic PID Algorithm by Mingjian Zhou, Yuqin Wang, Haibing Wu

“…The control block diagram of the wave compensation system based on the genetic PID control algorithm is established, and the optimal index and PID parameters are optimized by the crossover and mutation operators of the genetic particle swarm optimization algorithm. The simulations and experiments of the system show that the control performance of the wave compensation system based on the genetic PID algorithm is greatly improved. …”
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ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM by WANG YongDing, JIN ZiQi

“…Aiming at the problem that it is difficult to extract subtle fault features in the process of rolling bearing fault identification,this paper proposes a rolling bearing fault diagnosis method based on fusion convolutional neural network and support vector machine based on particle swarm optimization algorithm. In this method,the bearing vibration signal is used as the input signal of the one-dimensional convolutional neural network and the two-dimensional convolutional neural network,and the extracted fault information is fused in the convergence layer. …”
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OPTIMIZATION DESIGN OF UNIVERSAL COUPLING FORK BASED ON PARTICLE SWARM ALGORITHM by TANG Shu, LIU Yuan, YU XiangDong, SHI GuanLin

“…A new method based on particle swarm optimization algorithm was put forward for size optimization of the fork,then an Abaqus script written by Python was used to complete parametric modeling and analysis of the fork. …”
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Spatial Position Optimization of Components in the Labeling Robot System for Bundled Bars by Zhang Fuxiang, Zheng Yu, Huang Yongjian, Wang Chunmei, Huang Fengshan

“…Taking the shortest total stroke of the robot labeling process as the optimization goal of the placement position of the industrial robot and label printer, an improved particle swarm optimization algorithm is used for optimization calculation to obtain the optimal spatial position of the industrial robot and label printer, which improves the work efficiency of the labeling robot system, and has guiding significance for the practical application of the system.…”
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Null Steering in Failed Antenna Arrays by Om Prakash Acharya, Amalendu Patnaik, Sachendra N. Sinha

“…In this paper a correction procedure is introduced based on Particle Swarm Optimization (PSO) which maintains the nulling performance of the failed antenna array. …”
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OPTIMAL DESIGN OF SUSPENSION SYSTEM BASED ON IMPROVED PARTICLE SWARM-TABOO SEARCH ALGORITHM by WANG Jun, TIAN ZhongXu

“…At the same time,the suspension system is proposed by the improved particle swarm optimization tabu search optimization algorithm with the decoupling rate of the main direction of the system excitation force as the optimization goal. …”
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Network slicing deployment method based on isolation level by Qirun PAN, Kaizhi HUANG, Wei YOU

“…In order to balance the performance isolation requirements and security isolation requirements of network slicing,a network slice deployment method based on isolation level was proposed.The method first determined the isolation level of the network slice instance from the aspects of performance isolation and security isolation.When deploying the virtual nodes in the appropriate location,not only ensured that all network slice instances could reach their respective performance levels and security levels,but also isolated them.The gradation difference started to limit the coexistence condition of the virtual node.Then the integer linear programming method was used to model the problem,and the deployment cost was minimized as the objective function.Finally,the particle swarm optimization algorithm based on genetic algorithm was used to find the final deployment result.The simulation results show that the method has lower deployment cost and higher benefit-to-cost ratio,and can guarantee both performance and security.…”
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Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions by Shouchen Liu, Cheng Zhang

“…An optimization model of urban cold chain transportation with the objective function as the minimum total cost is constructed under the premise of service reliability, and an artificial immune particle swarm optimization algorithm is designed to solve the model. …”
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Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs by Amir Andalib, Babak Aminnejad, Alireza Lork

“…The correctness of the bat-based neural network model is then substantiated by contrasting its performance with that of the particle swarm optimization and teaching-learning-based optimization algorithms employed to train a neural network model. …”
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