Research on the Extraction Algorithm of Dielectric Parameters of Simple Building by Zhongyu Liu, Yuanxi Wang, Lixin Guo, Zhigang Zhong, Zuoyong Nan, Lingfeng Shen, Jiangting Li

“…By combining the particle swarm optimization (PSO) algorithm, the dielectric parameters of the marble targets are successfully inverted. …”
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Numerical Simulations and Control of Offshore Energy Harvesting Using Piezoelectric Materials in a Portal Frame Structure by Wagner B. Lenz, Mauricio A. Ribeiro, Rodrigo T. Rocha, Jose M. Balthazar, Angelo M. Tusset

“…The neighbour of selected variables is analyzed and then optimized by a process utilizing the particle swarm optimization (PSO) algorithm. Furthermore, an optimal control using the linear-quadratic regulator (LQR) controller is applied to control the load resistance of the piezoelectric circuit. …”
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Rotating Machine Fault Diagnosis Based on Optimal Morphological Filter and Local Tangent Space Alignment by Shaojiang Dong, Lili Chen, Baoping Tang, Xiangyang Xu, Zhengyuan Gao, Juan Liu

“…In order to identify the fault of rotating machine effectively, a new method based on the morphological filter optimized by particle swarm optimization algorithm (PSO) and the nonlinear manifold learning algorithm local tangent space alignment (LTSA) is proposed. …”
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Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm by Aida Ghorbani, Amir Daneshvar, Ladan Riazi, Reza Radfar

“…To solve this problem, a particle swarm optimization (PSO) algorithm to select the most efficient features was used in our proposed method. …”
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Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering by Jun Gang, Jiuping Xu, Yinfeng Xu

“…To search for the optimal solution of the bilevel model, a hybrid algorithm made up of an adaptive particle swarm optimization, an adaptive hybrid genetic algorithm, and a fuzzy random simulation algorithm is also proposed. …”
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Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm by Guang-zhou Chen, Jia-quan Wang, Ru-zhong Li

“…To verify the effectiveness of the improved algorithms, the optimization performance of improved DS in kinetic parameter estimation is studied and compared with that of the basic DS algorithm, differential evolution, artificial bee colony optimization, and quantum-behaved particle swarm optimization. And the experimental results demonstrate that the DS with the Latin hypercube sampling method does not present better performance, while the hybrid methods have the advantages of strong global search ability and local search ability and are more effective than the other algorithms.…”
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The Action Control Model for Robotic Fish Using Improved Extreme Learning Machine by XueXi Zhang, ShuiBiao Chen, ShuTing Cai, XiaoMing Xiong, Zefeng Hu

“…As the outputs in ELM are varying with the randomly initialized parameters, particle swarm optimization (PSO) algorithm further improves the accuracy and robustness of the ELM by optimizing initial parameters. …”
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PSO with Mixed Strategy for Global Optimization by Jinwei Pang, Xiaohui Li, Shuang Han

“…Particle swarm optimization (PSO) is an evolutionary algorithm for solving global optimization problems. …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar, Pabitra Kumar Biswas, Chiranjit Sain, Furkan Ahmad, Rishiraj Sarker, Taha Selim Ustun

“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems by Biaobiao Zhang, Yue Wu, Jiabin Lu, K.-L. Du

“…Other evolutionary algorithms such as genetic programming, evolutionary programming, particle swarm optimization, immune algorithm, and ant colony optimization are also described. …”
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Research on Mechanical Properties and Parameter Identification of Beam-Column Joint with Gusset Plate Angle Using Experiment and Stochastic Sensitivity Analysis by Xian Dong, Yadi Wang

“…An improved chaotic particle swarm optimization (ICPSO) neural network algorithm was used to study the stochastic sensitivity. …”
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Dynamic Optimization Design of Cranes Based on Human–Crane–Rail System Dynamics and Annoyance Rate by Yunsheng Xin, Gening Xu, Nina Su

“…A dynamic optimization design method for overhead traveling cranes is proposed. A particle swarm optimization (PSO) algorithm was used to optimize the crane structural design, with the structure parameters as the basic variables, the annoyance rate model as the objective function, and the acceleration amplitude and displacement amplitude of the crane as the constraint conditions. …”
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Cost-benefit analysis in demand response with penalty and grid management using blockchain by Manikandan Ramasamy, Thenmalar Kaliannan, Saravanakumar Ramasamy

“…Two distinct optimization methods such as the gray wolf optimization algorithm and particle swarm optimization are employed to solve the optimization model. …”
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Parameter Selection for PSO-Based Hybrid Algorithms and Its Effect on Crack Detection in Cantilever Beams by Amin Ghannadiasl, Saeedeh Ghaemifard

“…The performance of Particle swarm optimization (PSO), Genetic algorithm (GA), Grey wolf optimization (GWO), Firefly algorithm (FA), and hybrid of them base on PSO optimizer to determine the location and depth of crack for cantilever beam are proposed. …”
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A Data-Driven Approach for Reactive Power Optimization Incorporating Interval Values for Renewable Power Generation by Honglei Jia, Cong Zhang, Jieming Du, Na Kuang

“…The proposed method uses an improved particle swarm optimization algorithm to solve the RPO problem. …”
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An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation by Juan Wen, Xing Qu, Siyu Lin, Lin Ding, Lin Jiang

“…The minimum power loss and maximum absorption of RDG power are served as the optimization indexes to construct the dynamic muti-time period optimization model. A hybrid particle swarm optimization (HPSO) algorithm is presented based on integer coding and random coding technique, which can find the most satisfactory solutions for the proposed dynamic model. …”
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Study on the Home Health Caregiver Scheduling Problem under a Resource Sharing Mode considering Differences in Working Time and Customer Satisfaction by Heping Wang, Yuke He, Yan Li, Fuyu Wang

“…Consequently, in this paper, a corresponding mathematical model is established and a hybrid algorithm that combines the whale optimization algorithm (WOA) with the particle swarm optimization (PSO) algorithm is proposed to solve the model. …”
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An Optimization Method of Multiclass Price Railway Passenger Transport Ticket Allocation under High Passenger Demand by Bin Wang, Shaoquan Ni, Fucai Jin, Zixu Huang

“…And we solve this problem by constructing a particle swarm optimization algorithm. Lastly, we use examples to prove that the proposed ticket allocation method can meet the passengers’ needs and have good economic benefits.…”
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Magnetorheological Elastomer Precision Platform Control Using OFFO-PID Algorithm by Ying-Qing Guo, Jie Zhang, Dong-Qing He, Jin-Bao Li

“…In the algorithm, the particle swarm optimization algorithm is used to optimize initial values of the fractional-order PID controller, and the fuzzy algorithm is used to update parameters of the fractional-order PID controller in real time, and the fractional-order PID controller is used to produce the control currents of the MRE devices. …”
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