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  1. 481

    A satellite selection algorithm based on adaptive simulated annealing particle swarm optimization for the BeiDou Navigation Satellite System/Global Positioning System receiver by Ershen Wang, Caimiao Sun, Chuanyun Wang, Pingping Qu, Yufeng Huang, Tao Pang

    Published 2021-07-01
    “…The influences of the key parameters of the algorithm—such as the inertia weighting factor, acceleration coefficient, and population size—on the performance of the particle swarm optimization satellite selection algorithm are discussed herein. …”
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    Fault localization for automatic train operation based on the adaptive error locating array algorithm by Yanpeng Zhang, Yuxiang Cao

    Published 2025-01-01
    “…Then the Partial Variable Intensity Covering Array (PVICA) algorithm is used to generate the initial set of test cases, and the cases are executed sequentially. …”
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    Improving Frequency Control of Multi-Area Interconnected Hydro-Thermal Power System Using PSO Algorithm by Dao Huy Tuan, Van Nguyen Ngoc Thanh, Dat Nguyen Chi, Van Huy Pham

    Published 2025-03-01
    “…This paper explores a method that combines traditional PID control with the Particle Swarm Optimization (PSO) algorithm to improve frequency regulation in interconnected hydropower systems. …”
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    Situation Awareness and Tracking Algorithm for Countering Low-Altitude Swarm Target Threats by Nannan Zhu, Fuli Zhong, Xueyue Lei, Guo Niu, Hongtu Xie, Yue Zhang

    Published 2025-03-01
    “…Leveraging an adaptive Rao-Blackwellized Particle Filter (RBPF), the presented method jointly estimates the motion and extension states of swarm targets. …”
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    DPD-v2: Generalised deep particle diffusometry for varied particle shapes and experimental conditions by Pranshul Sardana, Steven T. Wereley

    Published 2025-01-01
    “…In microfluidic set-ups, the observed particles are often defocused and their motion is affected by factors such as fluid flow, which leads to high errors for conventional and deep learning-based PD (DPD) algorithms. …”
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    Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization by Mohammadreza Shahriari

    Published 2024-08-01
    “…The model is then solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to analyze the effects of time compression and activity delays on the outcomes.Findings:  The proposed model's results demonstrate its ability to optimize project resource usage by considering current constraints and capacities. …”
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  19. 499

    A hybrid slime mold enhanced convergent particle swarm optimizer for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Anil Parmar, Pradeep Jangir, Arpita, Bhargavi Indrajit Trivedi, G. Gulothungan, Ali Fayez Alkoradees, Reena Jangid, Mohammad Khishe

    Published 2025-03-01
    “…In this work, we propose a hybrid optimization algorithm, SCPSO, combining Particle Swarm Optimization with Mixed Mutant Slime Mold to improve precision, consistency, and computational efficiency in PEMFC parameter optimization. …”
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