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    An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure by Ali Solak, Altan Onat, Onur Kilinc

    Published 2025-01-01
    “…Particle Swarm Optimization (PSO) stands out as a pioneering algorithm in this domain. …”
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    Article
  5. 185

    Distributed Voronoi coverage algorithm in wireless sensor networks by XU Peng-fei1, CHEN Zhi-gang1, DENG Xiao-heng1

    Published 2010-01-01
    “…On the hypothesis conditions that wireless sensor networks only covered partial target region and the commu-nication radius was no less than twice of the sensing radius,a coverage-preserved and connected distributed Voronoi cov-erage algorithm was presented.Firstly,a method of detecting coverage redundancy sensors based on the local Voronoi re-gions was proposed,whose computational complexity was unconcerned with the density of sensors.Then,an en-ergy-prior self-scheduling strategy based on local Voronoi neighbors was proposed,where those sensors that were com-munication neighbors but not local Voronoi neighbors could synchronously execute self-scheduling,which improved the astringency of distributed scheduling.The simulation results show that the average number and coverage-degree of active sensors produced by the proposed algorithm are close to the centralized algorithm and smaller than the general distributed algorithm,while the proposed algorithm has more advantages in terms of active sensors’ average energy,scheduling as-tringency and runtime.…”
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    A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions by Boyan Huang, Kai Song, Shulin Jiang, Zhenqing Zhao, Zhiqiang Zhang, Cong Li, Jiawen Sun

    Published 2024-12-01
    “…Currently, numerous intelligent maximum power point tracking (MPPT) algorithms are capable of tackling the global optimization challenge of multi-peak photovoltaic output power under partial shading conditions, yet they often face issues such as slow convergence, low tracking precision, and substantial power fluctuations. …”
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    Article
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    Optimal Placement of Wireless Sensor Nodes for Bridge Dynamic Monitoring Based on Improved Particle Swarm Algorithm by Ting You, Huixia Jin, Peijiang Li

    Published 2013-12-01
    “…Optimizing sensor location is achieved by using the improved wavelet particle swarm algorithm, which overcomes the disadvantage of the conventional particle swarm algorithm by applying mutation operator to the selected particles with certain small probability. …”
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    Article
  11. 191

    3D spatial evolutionary particle swarm algorithm based emergency communication spatial deployment optimization by Yumin Chen, Xicheng Tan, Jinguang Jiang, Xiaoliang Meng, Zeenat Khadim Hussain, Jianguang Tu, Huaming Wang, You Wan, Zongyao Sha

    Published 2025-03-01
    “…This paper proposes an ANET nodes spatial optimization deployment algorithm based on 3D Spatial Evolutionary Particle Swarm Optimization (3DSEPSO). …”
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    Constrained Adaptive Weighted Particle Swarm Optimization (C-AWPSO) Algorithm for Dipping Fault Parameter Inversion by Shiquan Su, Juntao Liang, Chuang Xu, Feiyu Zhang, Hangtao Yu

    Published 2025-07-01
    “…To overcome the limitations of gravity inversion methods in fault inversion, this paper proposed a constrained adaptive weighted particle swarm optimization algorithm. Simulation experiments demonstrate that the proposed method exhibits stronger noise resistance compared to traditional optimization methods. …”
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    Article
  15. 195

    Chaotic motion of charged test particles in a Kerr-MOG black hole with explicit symplectic algorithms by Zhenmeng Xu, Dazhu Ma, Wenfu Cao, Kai Li

    Published 2025-07-01
    “…In this study, we employ explicit symplectic algorithms combined with the Hamiltonian splitting technique to numerically solve the equations of motion for charged particles. …”
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    Article
  16. 196

    Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

    Published 2025-01-01
    “…To address the challenges of scarce training data and poor adaptability to dynamic working conditions in electrical fault diagnosis for tunneling equipment, this study proposes an intelligent diagnosis model based on fault simulation and Improved Particle Swarm Optimization (IPSO). By constructing multi-physics coupling dynamic equations to accurately simulate fault effects and designing an IPSO algorithm integrating Lévy flight random walk with dynamic neighborhood topology optimization, the model significantly outperforms benchmarks in dynamic load tracking error (0.13%) and vibration suppression (28.7 dB), achieving 34.7% higher parameter identification accuracy (MSE = 0.19). …”
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    Article
  17. 197

    Parameter Estimation of Three-Phase Induction Motor Using Hybrid of Genetic Algorithm and Particle Swarm Optimization by Hamid Reza Mohammadi, Ali Akhavan

    Published 2014-01-01
    “…The HGAPSO inherits the advantages of both genetic algorithm (GA) and particle swarm optimization (PSO). …”
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    Article
  18. 198

    EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

    Published 2024-12-01
    “… The Particle Swarm Optimization (PSO) algorithm, though simple and effective, faces challenges like premature convergence and local optima entrapment. …”
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    Article
  19. 199

    Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm by Changjiang Zheng, Kai Sun, Yuhang Gu, Jinxing Shen, Muqing Du

    Published 2022-01-01
    “…In establishing the path-selection model, customer satisfaction is introduced, which is reflected by arrival punctuality and the quality of CCF. An improved particle swarm optimization algorithm (IPSO) is introduced to address the model and is proven to retain a fast convergence rate and achieve outstanding solving accuracy through the experimental study. …”
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