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    A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

    Published 2024-04-01
    “…Abstract To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. …”
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    Article
  5. 45

    Improved marine predator MPPT algorithm for photovoltaic systems in partial shading conditions by Hanbo Zheng, Qi Du, Shuqin Mo, Tuanfa Qin, Shusheng Wang, Zhe Li

    Published 2025-07-01
    “…To optimize PV array output efficiency under PS conditions, this paper investigates a MPPT algorithm for PV arrays in partial shading environments. …”
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    Article
  6. 46

    Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions by Robert Sørensen, Lucian Mihet-Popa

    Published 2024-10-01
    “…The optimization of photovoltaic (PV) systems is vital for enhancing efficiency and economic viability, especially under Partial Shading Conditions (PSCs). This study focuses on the development and comparison of traditional and advanced algorithms, including Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic Control (FLC), Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Artificial Neural Networks (ANN), for efficient Maximum Power Point Tracking (MPPT). …”
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    Article
  7. 47

    Determination of sugar in tangerines by fluorescence with an Improved partial least squares (PLS) algorithm by Lei Liu, Chunzhong Li, Haiyi Bian, Ahmed N Abdalla, Hua Yao, Wen Li

    Published 2024-12-01
    “…In this paper, we introduce a novel approach for sugar determination in tangerines utilizing fluorescence spectroscopy in conjunction with an improved Partial Least Squares (iPLS) algorithm. A robust testing model was developed, incorporating a diverse dataset of tangerine samples with known sugar concentrations. …”
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    Article
  8. 48

    Semi-Supervised Attribute Selection Algorithms for Partially Labeled Multiset-Valued Data by Yuanzi He, Jiali He, Haotian Liu, Zhaowen Li

    Published 2025-04-01
    “…This study proposes semi-supervised attribute selection algorithms for partially labeled multiset-valued data. …”
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    Article
  9. 49

    Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise by Junhong Li, Xiao Li

    Published 2018-01-01
    “…Furthermore, a gradient iterative identification algorithm is proposed to compare with the particle swarm optimization iterative algorithm. …”
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    Article
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    A Hybrid P&O-Fuzzy-Based Maximum Power Point Tracking (MPPT) Algorithm for Photovoltaic Systems Under Partial Shading Conditions by Hamed Karimi, Alireza Siadatan, Afshin Rezaei-Zare

    Published 2025-01-01
    “…Most MPPT algorithms do not perform well during partial shadow conditions, as they can become trapped in local maxima and fail to identify the absolute Global Maximum Power Point (GMP). …”
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    Article
  14. 54

    The Optimum design of arch dam shape using Particle Swarm optimization algorithm by seyed reza mousvi, نادر برهمند, Akbar Ghanbari, Arash Totonchi

    Published 2025-03-01
    “…The calculation parameters of the PSO algorithm showed the proper performance of this algorithm.…”
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    Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

    Published 2025-01-01
    “…The phase state of cloud particles refers to the physical state or form of clouds, typically encompassing characteristics such as structure, composition, and appearance. …”
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    Article
  17. 57

    An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability by Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu

    Published 2023-01-01
    “…Aiming at this problem, we proposed an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm to redistribute integrity and continuity risks and establish a protection level optimization model. …”
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    Article
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    Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

    Published 2024-03-01
    “…In this study, in order to discover hidden patterns and diagnose diabetes, a particle swarm intelligence algorithm has been used along with a neural network to increase the accuracy of diabetes diagnosis. …”
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    Article