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  1. 1641

    Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

    Published 2025-07-01
    “…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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    Article
  2. 1642

    A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

    Published 2025-01-01
    “…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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    Article
  3. 1643

    Intrusion detection algorithm of wireless network based on network traffic anomaly analysis by Xiangqian Nie, Jiao Xing, Qimeng Li, Fan Xiao

    Published 2025-06-01
    “…These features are analyzed by an intrusion detection module combining particle swarm optimization and support vector machine algorithms. …”
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    Article
  4. 1644

    Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm by Zhuojun Luo

    Published 2025-12-01
    “…Additionally, modified particle swarm optimization was employed to optimize the model's parameters. …”
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    Article
  5. 1645

    Moldina: a fast and accurate search algorithm for simultaneous docking of multiple ligands by Radek Halfar, Jiří Damborský, Sérgio M. Marques, Jan Martinovič

    Published 2025-04-01
    “…This can be a challenging and computationally demanding process. By integrating Particle Swarm Optimization into the established AutoDock Vina framework, we provided a powerful tool capable of accelerating drug discovery, and computational enzymology. …”
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    Article
  6. 1646

    Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

    Published 2025-08-01
    “…During the preference random walk phase of conventional CSO, particle swarm optimization (PSO) with adaptive inertia weights is defined to accelerate the local search capabilities. …”
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    Article
  7. 1647

    Optimization and Coordination of HAFDV PINN Control by Improved PSO by Bin Huang, Nengling Tai, Wentao Huang

    Published 2013-01-01
    “…In this paper, the improved particle swarm optimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as the particle swarm optimization are adopted to optimize the system parameters. …”
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    Article
  8. 1648

    Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation by Shengzhong Zhang, Qianqian Hui, Xue Bai, Rongting Sun

    Published 2020-01-01
    “…Two hybrid metaheuristic algorithms based on the particle swarm optimization algorithm and the genetic algorithm, respectively, are proposed to solve the bilevel model. …”
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    Article
  9. 1649

    QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing by Keyvan Atbaee Tabary, Homayun Motameni, Behnam Barzegar, Ebrahim Akbari, Hossien Shirgahi, Mehran Mokhtari

    Published 2025-01-01
    “…In this paper, the Smart Message Passing Interface Approach (SMPIA) is combined with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms for CC application. …”
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    Article
  10. 1650

    Optimization of Vehicle Routing with Pickup Based on Multibatch Production by Hongtao Hu, Jiao Mo, Chengle Ma

    Published 2018-01-01
    “…In the second stage, the Particle Swarm Optimization (PSO) algorithm was used to allocate vehicles to each production batch. …”
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    Article
  11. 1651
  12. 1652
  13. 1653

    Fuzzy optimum PSO: PSO with optimized fuzzy controllers by Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad

    Published 2024-02-01
    “…Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. …”
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    Article
  14. 1654

    Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm by Peng Wang

    Published 2025-03-01
    “…To enhance the decisionmaking process, this research utilizes particle swarm algorithms to optimize construction project decisions in assembled buildings. …”
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    Article
  15. 1655

    Optimal Operation of Microgrid Considering Photovoltaic,Storage and Turbine by XIANG Hongwei, CHANG Xiqiang, L Menglin, XING Zhanli, WANG Han

    Published 2020-04-01
    “…Constraints include power balance constraints, etc. The improved particle swarm optimization algorithm is used to solve the problem. …”
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    Article
  16. 1656

    PSO Based Optimization of Testing and Maintenance Cost in NPPs by Qiang Chou, Daochuan Ge, Ruoxing Zhang

    Published 2014-01-01
    “…Particle swarm optimizations (PSOs) have proved their capability to solve these kinds of problems. …”
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    Article
  17. 1657

    KBNN Based on Coarse Mesh to Optimize the EBG Structures by Yi Chen, Yu-bo Tian, Fei-yan Sun

    Published 2017-01-01
    “…We use precise mesh model of EM analysis as teaching signal and coarse mesh model as a priori knowledge to train the neural network (NN) by particle swarm optimization (PSO). The NN constructed by this method is simpler than traditional NN in structure which can replace precise model in optimization and reduce the computing time. …”
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    Article
  18. 1658

    A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

    Published 2025-07-01
    “…For performance evaluation, GSMA is compared with slime mould algorithm (SMA), grey wolf optimizer (GWO), sparrow search algorithm (SSA), Harris Hawks optimization (HHO), whale optimization algorithm (WOA) and particle swarm optimization (PSO) using standard optimization functions. …”
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    Article
  19. 1659
  20. 1660

    A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

    Published 2023-04-01
    “…However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and genetic algorithm are constantly employed to detect damages in the structures. …”
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    Article