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  1. 1701

    Structure design and optimization of jumping mechanisms based on velocity manipulability by LI Chenjiarui, HOU Yu, SUN Wei, XU Yantao, WANG Zhongxuan

    Published 2025-04-01
    “…The concept of velocity manipulability was introduced as a metric to assess the speed transfer performance of the mechanism, and a particle swarm optimization algorithm was employed for the mechanism optimization.ResultsThe results show that the optimized mechanism exhibits a 21.76% increase in the jumping velocity compared to its pre-optimized state. …”
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    Article
  2. 1702

    Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation by Qian Li, Sha Tao, Heap-Yih Chong, Zhijie Sasha Dong

    Published 2018-01-01
    “…To solve the problem efficiently, a double-layer metaheuristic comprised of Multiple Objective Particle Swarm Optimization (MOPSO) and interior point method named MOPSO-interior point algorithm is designed. …”
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    Article
  3. 1703

    Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory by Mingfang Chen, Kaixiang Zhang, Sen Wang, Fei Liu, Jinxin Liu, Yongxia Zhang

    Published 2020-01-01
    “…An evaluation function was established to assess the closeness degree between the actual trajectory and the original curve. Subsequently, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) for the points selection are used to obtain a more precise trajectory. …”
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    Article
  4. 1704

    Design and Optimization of a Millimetre Wave Compact Folded Magic-T by Guang Hua, Jiefu Zhang, Jiudong Wu, Wei Hong

    Published 2012-01-01
    “…A millimetre wave-folded magic-T junction compensated with metal cone is designed using a particle swarm optimization (PSO) algorithm. An off-centred metallic frustum was used to enhance the bandwidth and a metallic post is used to compensate the mismatched E-arm. …”
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    Article
  5. 1705

    Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO by Rongfu Luo, Zenghui Wang, Yanxia Sun

    Published 2022-01-01
    “…Therefore, this paper is to use the particle swarm optimization (PSO) algorithm to optimize the PI parameters of PLL and speed-loop of Luenberger observer of the system. …”
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    Article
  6. 1706

    An evolutionary algorithm‐based classification method for high‐dimensional imbalanced mixed data with missing information by Yi Liu, Gengsong Li, Qibin Zheng, Guoli Yang, Kun Liu, Wei Qin

    Published 2024-10-01
    “…Quantum oversampling chooses instances to balance data based on the quantum operator. Furthermore, particle swarm optimization is employed to optimize the parameters of the components to obtain preferable classification results. …”
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    Article
  7. 1707

    Dynamic strategy for adaptive block size optimization in blockchain technology by Shafique Ahmed Awan, Muazzam Ali Khan Khattak, Anwar Ali Sathio, Haleem Farman, Sumaira Memon, Moustafa M. Nasralla, Ahmed Sedik

    Published 2025-08-01
    “…This study proposes a dynamic block size optimization framework for private blockchain networks using hybrid heuristic algorithms—Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO)—integrated with Merkle trees and Directed Acyclic Graphs (DAGs). …”
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    Article
  8. 1708

    Antenna Optimization Design Based on Deep Gaussian Process Model by Xin-Yu Zhang, Yu-Bo Tian, Xie Zheng

    Published 2020-01-01
    “…In this network, GP is used to replace the fully connected layer of the CNN, the convolutional layer and the pooling layer of the CNN are used to reduce the dimension of the input parameters and GP is used to predict output, while particle swarm optimization (PSO) is used algorithm to optimize network structure parameters. …”
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    Article
  9. 1709

    Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems by Rohit Salgotra, Supreet Singh, Pooja Verma, Laith Abualigah, Amir H Gandomi

    Published 2025-06-01
    “…In addition to numerical benchmarks, MaCN is used to solve the industrial engineering frame structure and a comparison with hybridization of particle swarm with passive congregation (PSOPC), shuffled frog leaping algorithm hybrid with invasive weed optimization (SFLAIWO), particle swarm ant colony optimization (PSOACO), early strategy with DE (ES-DE), and others show its superiority. …”
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    Article
  10. 1710
  11. 1711

    Dynamic optimization of intersatellite link assignment based on reinforcement learning by Weiwu Ren, Jialin Zhu, Hui Qi, Ligang Cong, Xiaoqiang Di

    Published 2022-02-01
    “…To improve the overall performance of satellite networks, a satellite link assignment optimization algorithm based on reinforcement learning is proposed in this article. …”
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    Article
  12. 1712

    Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

    Published 2025-01-01
    “…Results show that GA-FNN achieves an average classification accuracy of approximately 90% across high, medium, and low risk levels, outperforming traditional methods such as logistic regression, SVM (Support Vector Machine), and other metaheuristics like PSO (Particle Swarm Optimization) and SA (Simulated Algorithm). …”
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    Article
  13. 1713

    Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm by Alireza Shahbazian, Hamidreza Rabiefar, Babak Aminnejad

    Published 2021-01-01
    “…To assess its feasibility, the ANNs were also modeled using the Particle Swarm Optimization, and Imperialist Competitive Algorithms. …”
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    Article
  14. 1714

    INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM by RAO YuWen, LIN RenBang, YANG YanZhi, YAN Gang

    Published 2021-01-01
    “…Numerical and experimental results have demonstrated that,ABC algorithm has better convergence and optimization ability than genetic( GA) algorithm and particle swarm optimization( PSO) algorithm; it has certain anti-noise capability that can optimally obtain the CZM parameters under different levels of measurement noise,and the simulated load-displacement data with the inversely identified parameters match the actual test ones well.…”
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    Article
  15. 1715

    A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm by Zahra Tabrizian, Ehsan Afshari, Gholamreza Ghodrati Amiri, Morteza Hossein Ali Beigy, Seyed Mohammad Pourhoseini Nejad

    Published 2013-01-01
    “…A great unbraced frame with a lot of damaged element is considered to prove the ability of proposed method. More over BB-BC optimization method in damage detection is compared with particle swarm optimizer with passive congregation (PSOPC) algorithm. …”
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    Article
  16. 1716

    DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

    Published 2023-12-01
    “…BA has a faster convergence rate than other algorithms, for example Particle Swarm Optimization (PSO). …”
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    Article
  17. 1717

    Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm by Jianxue Wang, Jianming Lu, Zhaohong Bie, Shutang You, Xiaoyu Cao

    Published 2014-01-01
    “…A combined algorithm that consists of particle swarm optimization and tabu search is designed and applied to the optimization problem. …”
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    Article
  18. 1718

    Identification of Anomaly Detection in Power System State Estimation Based on Fuzzy C-Means Algorithm by Di Leng, Ziliang Qiu

    Published 2023-01-01
    “…On this basis, the power system state estimation model established by particle swarm optimization support vector machines is used to judge the operational state of the power system. …”
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    Article
  19. 1719

    Intelligent decision-making for mine airflow on demand based on the improved artificial bee colony algorithm by ZHANG Lang, LEI Shuang, LI Wei, LIU Yanqing

    Published 2025-03-01
    “…Experimental results showed that, compared with the Particle Swarm Optimization (PSO) algorithm, the ABC algorithm, the Gbest-guided artificial bee colony (GABC) algorithm, and artificial bee colony with generalized opposition-based learning (ABC-GOBL) algorithm, the improved ABC algorithm could solve the optimal solution of mine airflow on-demand control more quickly and stably, with an airflow control accuracy of up to 0.49 m3/s.…”
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    Article
  20. 1720