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    Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

    Published 2024-12-01
    “…It is compared against five advanced techniques: particle swarm optimization (PSO), Cat Swarm Optimization (CSO), long short-term memory (LSTM) with convolutional neural networks (LSTM-CNN), support vector regression (SVR), bee swarm algorithm (BSA), ant colony optimization (ACO) and the firefly algorithm (FFA). …”
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  11. 851

    Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

    Published 2024-12-01
    “…This work presents a comparative examination of supervised learning algorithms optimized with particle swarm optimization for estimating photovoltaic output current. …”
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    SVR Data-Driven Optimization of Generator Leading Phase Operation Limit by Dengfeng LI, Mincai YANG, Yuming LIU, Ruilin XU, Xia YU, Zhaojiong LI

    Published 2021-08-01
    “…The improved second-order oscillation particle swarm optimization algorithm is then applied to solve the optimization model. …”
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    Article
  14. 854

    Multiobjective optimization for sizing and placing electric vehicle charging stations considering comprehensive uncertainties by Abdallah Mohammed, Omar Saif, Maged A Abo‑Adma, Rasha Elazab

    Published 2024-11-01
    “…To address this, we propose a particle swarm optimization algorithm designed for optimal placement and sizing of EV charging stations. …”
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  15. 855

    Angular Random Walk Improvement of Resonator Fiber Optic Gyro by Optimizing Modulation Frequency by Wei Gao, Zhuo Wang, Guochen Wang, Weiqi Miao

    Published 2019-01-01
    “…In order to make this method effective, we use the particle swarm optimization algorithm to optimize the multi-parameter involved in ARW. …”
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  16. 856

    A power-distribution joint optimization arrangement for multi-point source jamming system by Zhihao Cai, Shiqi Xing, Sinong Quan, Xinyuan Su, Junpeng Wang

    Published 2025-09-01
    “…Third, a multi-objective time-varying mapping particle swarm optimization (MOTPSO) algorithm is adopted to solve the model, thereby achieving the optimal arrangement. …”
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  17. 857

    Hybrid metaheuristic-driven 3D path planning for UAVs in complex urban environments: a multi-objective fusion framework by Qing Cheng, Zhengyuan Zhang, Yunfei Du, Xi Zhao

    Published 2025-12-01
    “…This study introduces GS-PSO, a novel multi-stage hybrid framework designed to address this challenge by sequentially integrating Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), and a Genetic Algorithm (GA). …”
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  18. 858

    A Bi-Level Optimization Scheme for Energy Storage Configuration in High PV-Penetrated Distribution Networks Based on Improved Voltage Sensitivity Strategy by Bo Gao, Qing Du, Gonghao Zhan, Jian Han

    Published 2025-04-01
    “…Based on the data of the clustered nodes, a bi-level optimization model is established to determine the optimal location, rated power, and capacity of energy storage using the particle swarm optimization (PSO) algorithm. …”
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  19. 859

    Optimization of a high gain observer for feedback linearization control by Nadia Bounouara, Mouna Ghanai, Kheireddine Chafaa

    Published 2024-12-01
    “…The main contribution of this approach is to improve the value of the high gain that corresponds to the minimum value of the cost function by using some metaheuristic algorithms. The observer is characterized by an optimal high gain that is optimized by biogeography-based optimization (BBO) algorithm, particle swarm optimization (PSO) method and genetic algorithms (GA). …”
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  20. 860

    Bio-Inspired Hyperparameter Tuning of Federated Learning for Student Activity Recognition in Online Exam Environment by Ramu Shankarappa, Nandini Prasad, Ram Mohana Reddy Guddeti, Biju R. Mohan

    Published 2024-07-01
    “…Hence, in this study, we proposed two hybrid bio-inspired optimized methods, namely, Particle Swarm Optimization with Genetic Algorithm (PSOGA) and Particle Swarm Optimization with Elitist Genetic Algorithm (PSOEGA), to fine-tune the hyperparameters of the ResNet50 model. …”
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