Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD by Peiming Shi, Cuijiao Su, Dongying Han

“…Firstly, the stochastic resonance system is optimized by particle swarm optimization (PSO), and the best structure parameters are obtained. …”
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Annual Energy Consumption Forecasting Based on PSOCA-GRNN Model by Huiru Zhao, Sen Guo

“…Meanwhile, the spread parameter of GRNN model was automatically determined by PSOCA algorithm (the combination of particle swarm optimization algorithm and cultural algorithm). …”
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Integrated Berth Allocation and Time-Variant Quay Crane Scheduling with Tidal Impact in Approach Channel by Xiaogang Jiao, Feifeng Zheng, Ming Liu, Yinfeng Xu

“…An integer linear programming model is developed, and then three heuristic algorithms, Genetic Algorithm, Hybrid Particle Swarm Optimization, and Hybrid Simulated Annealing, are proposed to solve the model. …”
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A PSO-CVX Algorithm of Sum and Difference Beam Patterns for Time-Modulated Antenna Array by Xikuan Dong, Hailin Li, Jing Tan, Jiawen Hu, Yachao Jiang

“…The turn-on times of antenna array are achieved by solving a quadratic constraint linear programming; meanwhile, the opening times are optimized by particle swarm optimization algorithm. The results of linear array show that the sum and difference beam can be scanned within ±40 degrees, with lower peak side-lobe level.…”
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Research on Small Sample Nonlinear Cointegration Test and Modeling Based on the LS-SVM Optimized by PSO by Jungang Du

“…According to the definition of nonlinear cointegration, this article studies the small sample nonlinear cointegration test and NECM (Nonlinear Error Correction Model) based on the LS-SVM (Least Squares Support Vector Machine) optimized by PSO (Particle Swarm Optimization). And the logical process of this method is also designed. …”
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Kinematic Performance Analysis and Dimensional Optimization for 2PUS-PU Parallel Mechanism by Linxian Che, Jian Yi, Bing He, Xuedong Lin

“…A constrained optimization model is constructed to formulate the design problem of dimensional parameters on the maximizing radius of RTOW，and particle swarm optimization and differential evolution algorithm are adopted to solve this problem. …”
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Three-Dimensional Reconstruction of Mechanical Parts Based on Digital Holography by Yaohui Dai, Haiyu Wu, Gang Zhu, Yan Yang

“…The multiaperture stitching technique in cylindrical coordinates is applied to digital holography technology, and the particle swarm optimization algorithm is used to transform the nonlinear equations into optimization problems to solve the splicing parameters. …”
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Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization by Tinggui Chen, Renbin Xiao

“…It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). However, the ABC still has some limitations. …”
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Adaptive Differential Evolution Algorithm for Forward Position Solution of Parallel Mechanism by Yi Jian

“…Furthermore,the ADE algorithm is compared with basic DE,the adaptive mutation particle swarm optimization,and improved artificial bee colony algorithms,and it is verified that the former outperforms the compared algorithms in term of convergence precision and calculated robustness.…”
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Forward Position Analysis of 3-RPS Parallel Mechanism based on ADE-Newton algorithm by Peng Siyang, Li Ping, Che Linxian, Du Li

“…And the performances of artificial bee colony,particle swarm optimization and differential evolution algorithms in solving forward position of 3-RPS parallel mechanism is compared. …”
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A Novel Mining Approach for Data Analysis and Processing Using Unmanned Aerial Vehicles by Ali Alenezi, Ahmad Sawalmeh, Hazim Shakhatreh, Muhannad Almutiry, Nasser Aedh Alreshidi

“…Because the problem is non-convex, the particle swarm optimization algorithm is used to solve it and determine an efficient location and trajectory of the UAV.…”
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An Intelligence Optimized Rolling Grey Forecasting Model Fitting to Small Economic Dataset by Li Liu, Qianru Wang, Ming Liu, Lian Li

“…In this paper, we proposed the PRGM(1,1) model, a rolling mechanism based grey model optimized by the particle swarm optimization, in order to improve the forecast accuracy. …”
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Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO by Pitther N. Santos, Victor Dmitriev, Karlo Q. da Costa

“…The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. …”
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Receiver Diversity Combining Using Evolutionary Algorithms in Rayleigh Fading Channel by Mohsen Akbari, Mohsen Riahi Manesh, Ayman A. El-Saleh, Ahmed Wasif Reza

“…In this paper, an imperialistic competitive algorithm (ICA) is proposed and compared with two other evolutionary based algorithms, namely, particle swarm optimization (PSO) and genetic algorithm (GA), for diversity combining of signals travelling across the imperfect channels. …”
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A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD by Fengfeng Bie, Xueping Ding, Qianqian Li, Yuting Zhang, Xinyue Huang

“…Ultimately, SVM iteratively optimized by the particle swarm optimization (PSO) algorithm, serves as the classification technique. …”
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Research on Reactive Power Optimization Control Method for Distribution Network with DGs Based on Improved Second-Order Oscillating PSO Algorithm by Youming Cai, Jingmin Liu, Ning Gao

“…To solve this problem, this paper proposes a reactive power optimization control method for distribution network with DGs based on second-order oscillating particle swarm optimization (PSO) algorithm with a constriction factor. …”
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Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm by Zwe-Lee Gaing, Chia-Hung Lin

“…This paper proposes solving contingency-constrained optimal power flow (CC-OPF) by a simplex-based chaotic particle swarm optimization (SCPSO). The associated objective of CC-OPF with the considered valve-point loading effects of generators is to minimize the total generation cost, to reduce transmission loss, and to improve the bus-voltage profile under normal or postcontingent states. …”
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Prediction and evaluation of residual life of casing with corrosion defects by JIA Aoyin, QIAN Liqin, WANG Jie, YANG Jingwei, WU Yaokun, WEI Mingji

“…Therefore, there is an urgent need to conduct residual life and safety evaluations of old oil field casings.MethodsBased on the von Mises equivalent stress yield criterion, a three-dimensional finite element calculation model of casings containing corrosion defects was established to analyze the influence law of corrosion pit depth and angle on casing stress distribution. The particle swarm optimization-gaussian process regression （PSO-GPR) algorithm was employed to construct a predictive model for casing corrosion rates.ResultsIntegration of the two models, the evaluation of the residual life of casings with corrosion defects was completed, it has theoretical guidance significance for the prevention and management of corroded casings in oil field operations.…”
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A Faster Convergence Artificial Bee Colony Algorithm in Sensor Deployment for Wireless Sensor Networks by Xiangyu Yu, Jiaxin Zhang, Jiaru Fan, Tao Zhang

“…Simulation results showed that comparing with the deployment method based on original ABC and particle swarm optimization (PSO) algorithm, the proposed approach can achieve a better performance in coverage rate and convergence speed while needing a less total moving distance of sensors.…”
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A Novel Fractional Hausdorff Discrete Grey Model for Forecasting the Renewable Energy Consumption by Yuzhen Chen, Suzhen Li, Shuangbing Guo

“…The fractional-order r of the FHDGM (1,1) model is optimized using particle swarm optimization. Subsequently, through two empirical analyses, the prediction accuracy of the FHDGM (1,1) model is proven to be higher than that of other models. …”
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