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  1. 2581

    Techno-economic modeling and analysis of a PV EV charged with battery energy storage system (BESS) on Kalimantan Island by Aripriharta, Satria Adiguna, Arif N. Afandi, Muhammad Cahyo Bagaskoro

    Published 2025-04-01
    “…This research analyses the optimal combination of solar panels and battery capacity in 11 cities in Kalimantan using particle swarm optimization (PSO) and grey wolf optimization (GWO) algorithms to maximize energy output, reduce levelised energy costs, and maximally reduce carbon emissions. …”
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    Article
  2. 2582

    A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

    Published 2025-02-01
    “…By adopting improved versions of Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and novel Hadamard matrix-based hybrid compressed sensing techniques, NHM-HCS enhances the network’s lifespan and improves other performance metrics. …”
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    Article
  3. 2583

    Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

    Published 2025-12-01
    “…Future research directions include optimizing CGAN parameters using algorithms like particle swarm optimization, refining discriminator outputs in loss calculations, and incorporating cultural and linguistic features specific to endangered languages to improve the quality of the generated texts.…”
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    Article
  4. 2584

    Neuro-modelling and fuzzy logic control of a two-wheeled wheelchair system by NIzaruddin M Nasir, Nor Maniha Abdul Ghani, Ahmad Nor Kasruddin Nasir, Mohd Ashraf Ahmad, Mohammad Osman Tokhi

    Published 2025-03-01
    “…Ensuring stable and responsive control, design of optimized PD-type and PID-type fuzzy logic controllers using Particle Swarm Optimization (PSO) were established and were tested under a simulation environment. …”
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    Article
  5. 2585
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  8. 2588

    Ultrasonic and Microwave-assisted Solid-Liquid Extraction of Ginkgo biloba Phenolics: Study about Mass Transfer and PID Control by Chi XU, Hebin XU, Rui ZHU, Jing LI, Dandan LI, Yongbin HAN, Yi ZHENG, Yang TAO

    Published 2025-02-01
    “…Furthermore, fuzzy-PID controllers optimized by genetic algorithms or particle swarm optimization (PSO) algorithms outperformed traditional PID controller and individual fuzzy-PID controller to control the extraction process, achieving faster convergence with minimal overshoot. …”
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    Article
  9. 2589

    Predicting bearing capacity of gently inclined bauxite pillar based on numerical simulation and machine learning by Deyu WANG, Defu ZHU, Biaobiao YU, Chen WANG

    Published 2025-03-01
    “…Additionally, two optimization algorithms, Genetic Programming (GP) and Improved Quantum Particle Swarm Algorithm (IQPSO), were used to enhance model performance and establish a non-linear mapping relationship between the influencing factors and the strength of the gently inclined pillars. …”
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    Article
  10. 2590

    A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

    Published 2025-01-01
    “…In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. …”
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    Article
  11. 2591

    A New High-Performance Photovoltaic Emulator Suitable for Simulating and Validating Maximum Power Point Tracking Controllers by Ambe Harrison, Njimboh Henry Alombah

    Published 2023-01-01
    “…A nonlinear backstepping controller was designed to exploit the reference voltage and stabilize the power conversion stage (PCS). The PVE was optimized using particle swarm optimization (PSO). …”
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    Article
  12. 2592

    Two-Agent Single Machine Order Acceptance Scheduling Problem to Maximize Net Revenue by Jiaji Li, Yuvraj Gajpal, Amit Kumar Bhardwaj, Huangen Chen, Yuanyuan Liu

    Published 2021-01-01
    “…A heuristic method is used to determine and secure a quick solution while the metaheuristic based on particle swarm optimization (PSO) is designed to obtain the near-optimal solution. …”
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    Article
  13. 2593

    A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions by Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy

    Published 2025-05-01
    “…This research also highlights the success of models such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Explainable AI (XAI) in improving detection accuracy as well as computational efficiency and interoperability. …”
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    Article
  14. 2594

    Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application by Li HUANG, Yun LIANG, Hui HUANG, Xiaoyan SUN, Shan WANG, Yuqiang YANG

    Published 2024-05-01
    “…Additionally, the surrogate model is optimized by the particle swarm algorithm, and the temperature field distribution is visualized with the grid node data. …”
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    Article
  15. 2595

    Research on Rolling Bearing Fault Diagnosis Using Improved Majorization-Minimization-Based Total Variation and Empirical Wavelet Transform by Yangli Ou, Shuilong He, Chaofan Hu, Jiading Bao, Wenjie Li

    Published 2020-01-01
    “…However, manually selecting parameters requires professional experience in a process that it is time-consuming and laborious, while the use of genetic algorithms is cumbersome. Therefore, an improved particle swarm algorithm (IPSO) is used to find the optimal solution of λ. …”
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    Article
  16. 2596

    Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

    Published 2025-07-01
    “…This algorithm surpasses step control methods optimized through particle swarm optimization and outperforms traditional TD3 reinforcement learning methodologies. …”
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    Article
  17. 2597

    Method for prediction magnetic silencing of uncertain energy-saturated extended technical objects in prolate spheroidal coordinate system by B. I. Kuznetsov, A. S. Kutsenko, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets

    Published 2024-10-01
    “…Nonlinear minimax optimization problems solutions calculated based on particle swarm nonlinear optimization algorithms. …”
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    Article
  18. 2598

    Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

    Published 2025-04-01
    “…Feature selection and optimization of input scenarios were achieved using a combination of particle swarm optimization (PSO) and manual methods. …”
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    Article
  19. 2599
  20. 2600

    Multispheroidal model of magnetic field of uncertain extended energy-saturated technical object by B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets, B. B. Kobylianskyi

    Published 2025-01-01
    “…Nonlinear minimax optimization problems solutions calculated based on particle swarm nonlinear optimization algorithms. …”
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    Article