Optimization and Matching Scheme of Public Management Resources for Industry 4.0 and Smart City by Jinglin Fan, Lei Shi

“…This paper starts with the multiobjective optimization algorithm to optimize the matching of public resources and realize the effective utilization of public management resources. Using particle swarm optimization algorithm, the optimal allocation management of 8 kinds of resources in this paper is carried out, and the optimization analysis is carried out from the performance indexes, such as resource allocation time and configuration complexity. …”
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Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control by Fevrier Valdez, Juan Carlos Vazquez, Fernando Gaxiola

“…A novel approach applied to Particle Swarm Optimization (PSO) and Ant Colony Optimization is presented. …”
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TEMPERATURE COMPENSATION STRATEGY OF PRESSURE SENSOR BASED ON BP NEURAL NETWORK OPTIMIZED BY GLOWWORM SWARM OPTIMIZATION by WANG Hui, FU Peng, SONG YuNing

“…The temperature compensation performance of optimized BP neural network compares to that of conventional neural network and particle swarm optimization neural network. The results showed that compared with the conventional neural network and PSO optimization BP neural network,the optimized GSO optimization BP neural network is effective.The compensation error of GSO-BP neural network is 52% less than that of BP and 23% less than that of PSO-BP.Considering the time of compensation,the comprehensive performance of the BP neural network optimized by GSO is better.The compensated sensor data meet the experimental requirements of the subject.The compensation algorithm is feasible.…”
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Synthesis of Thinned Planar Antenna Array Using Multiobjective Normal Mutated Binary Cat Swarm Optimization by Lakshman Pappula, Debalina Ghosh

“…Targeted solutions may be chosen from the Pareto front to satisfy the different requirements demonstrating the superiority of the proposed approach over multiobjective binary particle swarm optimization method (MO-BPSO). A comparative study is carried out to quantify the performance of the two algorithms using two performance metrics.…”
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Optimal fixed-time sliding mode control for anti-lock braking systems based fuzzy logic and neural network by Najlae Jennan, El Mehdi Mellouli

“…The research introduces a novel control strategy that combines fixed-time sliding mode control (SMC), artificial neural networks (ANN), Takagi-Sugeno (T-S) fuzzy logic, and particle swarm optimization (PSO). The ABS system is modelled and controlled using a fixed-time SMC approach, with T-S fuzzy logic employed to approximate the friction function of the ABS model. …”
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An Improved Grey Model with Time Power and Its Application by Jianming Jiang, Caixia Liu, Yuanguo Yao, Yumu Lu, Wanli Xie, Chong Liu

“…Secondly, the variable coefficient in the whitening equation and the time power are determined by particle swarm optimization algorithm. Two empirical examples are then used to verify the validity of the novel model. …”
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Analysis and Optimization on Transmission Accuracy of Shoulder Joint Reducer for an Upper Limb Rehabilitation Robot by Zou Shuaidong, Wang Guangjian, Xie Guanghui, Hou Jingming, Yang Renqiang, Sun Fanwei

“…Based on the analytical model of shoulder joint transmission accuracy, the output torque fluctuation caused by transmission error is analyzed and particle swarm optimization algorithm is adopted to optimize transmission accuracy under the condition of constant machining accuracy, so as to improve the output torque fluctuation caused by transmission error of the shoulder joint of the upper limb rehabilitation robot to avoid the secondary injury of the patients.…”
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Indoor positioning and orientating system based on visible light communication by Guowei YANG, Zhaobiao HUANG, Bing FAN, Xuefang ZHOU, Meihua BI

“…For the insufficient research on the simultaneously positioning and orientating system, a VLC positioning and orientating algorithm based on combining particle swarm optimization (PSO) and beetle antennae search (BAS) was proposed.The PSO algorithm was used to explore the optimal direction of the receiver and meanwhile the BAS algorithm was used to search the best three-dimensional coordinates of each particle in the current direction.Firstly, the indoor space of 3 m×3 m×5 m and the SNR of 40 dB were assumed in the simulation, the proposed VLC indoor positioning and orientating system could achieve the average positioning error of 4.82 cm and average orientating error of 2.24°.Then, in the laboratory space of 0.9 m×0.9 m×1.5 m, the experimental demonstration was accomplished for the first time, and the average positioning and orientating errors of this experimental system were 5.32 cm and 5.99°, respectively.Compared with the traditional VLC indoor positioning schemes, the proposed VLC positioning and orientating system does not need the prior knowledge of the height and direction of the receiver, which greatly reduces the system complexity and is applicable to a wider range of applications.…”
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Multiple PAHs’ Detection under CDOM Interference Based on Excitation-Emission Matrix and Interval Selection by Ruizhuo Li, Limin Gao, Guojun Wu, Jing Dong

“…The optimal excitation wavelength for each PAH was obtained by stability analysis, based on which the optimal emission interval was obtained by chaotic particle swarm optimization. The partial least squares (PLS) prediction models of four PAHs under interference were established. …”
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Jiles-Atherton-Based Hysteresis Identification of Joint Resistant Torque in Active Spacesuit Using SA-PSO Algorithm by Zhao-yang Li, Yue-hong Dai, Jun-yao Wang, Peng Tang

“…Considering the parameter identification effects in the Jiles-Atherton model and the local optimum problem of the basic PSO (particle swarm optimization) algorithm, a SA- (simulated annealing-) PSO algorithm is proposed to identify the Jiles-Atherton model parameters. …”
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Swarming Computational Procedures for the Coronavirus-Based Mathematical SEIR-NDC Model by Suthep Suantai, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Watcharaporn Cholamjiak

“…The swarming procedure based on the particle swarm optimization (PSO) works as a global search, while the sequential quadratic programming (SQP) is used as a local search algorithm. …”
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An effective method for detecting the wheat freshness by integrating biophotonics and machine learning algorithm by Weiya Shi, Liang Chen

“…Initially, spontaneous ultraweak photon emissions from wheat are measured, and various statistical descriptors are derived to construct a feature vector. Particle Swarm Optimization (PSO) is then utilized to determine the optimal parameters for the Support Vector Machine (SVM). …”
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SOM Neural Network Fault Diagnosis Method of Polymerization Kettle Equipment Optimized by Improved PSO Algorithm by Jie-sheng Wang, Shu-xia Li, Jie Gao

“…Firstly, a mapping between the polymerization process data and the fault pattern is established by analyzing the production technology of polymerization kettle equipment. The particle swarm optimization (PSO) algorithm with a new dynamical adjustment method of inertial weights is adopted to optimize the structural parameters of SOM neural network. …”
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Modeling Human Body Using Four-Pole Debye Model in Piecewise Linear Recursive Convolution FDTD Method for the SAR Calculation in the Case of Vehicular Antenna by Ammar Guellab, Qun Wu

“…The human tissues are modeled by a four-pole Debye model which is derived from experimental data by using particle swarm optimization (PSO). The human exposure to EM radiation is evaluated by computing the local and whole-body average specific absorption rate (SAR) for each occupant. …”
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Research on the Effect of DPSO in Team Selection Optimization under the Background of Big Data by Qian Zhao, Lian-ying Zhang

“…The simulation experiment method is used to qualitatively analyze the main parameters of the particle swarm optimization in this paper. By comparing the iterative results of genetic algorithm, ordinary particle swarm algorithm, and discrete particle swarm algorithm, it is found that the DPSO algorithm is effective and preferred in the study of team selection with the background of big data.…”
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Optimization of a Conical Corrugated Antenna Using Multiobjective Heuristics for Radio-Astronomy Applications by S. López-Ruiz, R. Sánchez Montero, F. Tercero-Martínez, P. L. López-Espí, J. A. López-Fernandez

“…The antenna optimization has been carried out with multiobjective versions of an evolutionary algorithm (EA) and a particle swarm optimization (PSO) algorithm. We show that both techniques provide good antenna design, but the experience carried out shows that the results of the evolutionary algorithm outperform the particle swarm results.…”
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Performance Evaluation of Antlion Optimizer Based Regulator in Automatic Generation Control of Interconnected Power System by Esha Gupta, Akash Saxena

“…The comparison of the regulator performance obtained from ALO is carried out with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Gravitational Search Algorithm (GSA) based regulators. …”
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Automated Generation Control of Multiple-Area Electrical System with an Availability-Based Tariff Pricing Scheme Regulated by Whale Optimized Fuzzy PID Controller by Zaid Hamodat, Galip Cansever

“…., whale-optimized fuzzy PID controller, are investigated against already presented methods such as particle swarm optimization and genetic algorithms.…”
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The Reliability-Based Design Optimization of considering Rock-Support Interaction for Rock Tunnels by Hongbo Zhao, Shaojun Li, Bingrui Chen

“…Uncertainties were estimated by reliability analysis using Excel Solver. Chaotic particle swarm optimization (CPSO) was adopted to search the optimal tunnel design parameters based on the rock-support interaction analysis. …”
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A New Aerodynamic Optimization Method with the Consideration of Dynamic Stability by Mi Baigang, Wang Xiangyu

“…Then, combined with the PSO (particle swarm optimization) algorithm, a dynamic stability derivative that must not be decreased is added to the constraints of optimization and the lift-drag ratio is chosen as the optimization objective. …”
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