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Showing 121 - 140 results of 1,575 for search '(improved OR improve) ((particle OR partial) OR articles) swarm algorithm', query time: 0.21s Refine Results
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    Electromyography-based gesture recognition for quadriplegic users using hidden Markov model with improved particle swarm optimization by Xanno K Sigalingging, Alrezza Pradanta Bagus Budiarsa, Jenq-Shiou Leu, Jun-ichi Takada

    Published 2019-07-01
    “…The signals are then processed using a novel algorithm that employs hidden Markov model and improved particle swarm optimization to classify the gesture. …”
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    Article
  4. 124

    Improved particle swarm optimization for fractional order PID control design in robotic manipulator system: A performance analysis by Gamil Ahmed, Ahmed Eltayeb, Nezar M. Alyazidi, Imil Hamda Imran, Tarek Sheltami, Sami El-Ferik

    Published 2024-12-01
    “…This study introduces an improved particle swarm optimization (IPSO) technique that maximizes the efficiency of a Fractional Order Proportional-Integral-Derivative (FOPID) controller by optimally adjusting FOPID gains in robotic manipulator systems. …”
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    Article
  5. 125

    An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence by Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke

    Published 2023-01-01
    “…To address this problem, the velocity update equation of the original PSO algorithm is modified by incorporating a dynamic linear decreasing inertia weight, which improves the PSO algorithm’s convergence behaviour and aids both local and global search. …”
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    Article
  6. 126

    Prediction and reliability analysis of rigid pipeline response in soft soil using improved particle swarm neural network by Laifu Song, Shun Zhang, Jun Wang, Hongtao Fu, Jiayu Cai

    Published 2025-07-01
    “…The simulation results are validated against data from field tests. Second, an improved particle swarm optimization (PSO) algorithm is introduced to optimize the weights and thresholds of a backpropagation neural network (BPNN). …”
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    Article
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    Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters by Mohammad Amin Heidari, Mehdi Nafar, Taher Niknam

    Published 2024-02-01
    “…In this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the distributed generation source. …”
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    Article
  9. 129

    Performance Improvement of Spaceborne SAR Using Antenna Pattern Synthesis Based on Quantum-Behaved Particle Swarm Optimization by Young-Jin Won, Kyun Ho Lee, Jae-Hyun Lee

    Published 2017-01-01
    “…This study proposes a method for antenna mask design that is based on several previous studies as well as the antenna pattern synthesis algorithm, which is based on quantum-behaved particle swarm optimization (QPSO) for an active phased array SAR system. …”
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    Article
  10. 130

    Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

    Published 2025-04-01
    “…Therefore, an optimization algorithm, namely, the improved salp swarm optimization algorithm (ISSA), is incorpo-rated with the PTS to reduce the PAPR of the OFDM signals with limited com-putational cost. …”
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    Article
  11. 131

    A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

    Published 2024-04-01
    “…Abstract To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. …”
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    Article
  12. 132

    Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization by Zhenda HU, Wenjin JIANG, Linyao ZHANG, Xiaodong YANG, Yichao ZOU, Kai WANG

    Published 2023-08-01
    “…The feasibility of using the improved cat swarm algorithm to solve the capacity optimization configuration model of hydrogen storage system was verified through numerical examples, and the rationality of the proposed hydrogen storage system capacity optimization configuration model was also demonstrated.…”
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    Article
  13. 133

    Immune particle swarm optimization algorithm based on the adaptive search strategy by ZHANG Chao, LI Qing, WANG Wei-qian, CHEN Peng, FENG Yi-nan

    Published 2017-01-01
    “…The particle swarm algorithm is often trapped in a local optimum due to poor diversity, resulting in a premature stagnation phenomenon. …”
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    Article
  14. 134

    IDS alert clustering algorithm based on chaotic particle swarm optimization by Xiao-bo XU, Qin-qin JIANG, Kang-feng ZHENG, Bin WU, Yi-xian YANG

    Published 2013-03-01
    “…In order to improve the quality of alerts in intrusion detection system (IDS) and reduce the large number of redundant alarms, an IDS alerts clustering algorithm based on chaotic particle swarm optimization was proposed.It made the motion of particles with characteristics of chaos,so as to make particles move between the state of chaos and stable, and gradually close to the optimal value. …”
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    Article
  15. 135

    Search Guidance Network Assisted Dynamic Particle Swarm Optimization Algorithm by LIU Zhi, SONG Wei

    Published 2024-12-01
    “…To this end, a search guidance network-based particle swarm optimization (SGN-PSO) is proposed. …”
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    Article
  16. 136

    Research on Fractional-Order Control of Anchor Drilling Machine Optimized by Intelligent Algorithms by Jingkai Li, Jun Zhang, Jiaquan Xie, Wei Shi, Jianzhong Zhao

    Published 2025-05-01
    “…To achieve precise docking in unmanned conditions, we employed an inner-loop fractional-order proportional–integral–derivative (FOPID) controller optimized by an improved particle swarm optimization (ILPSO) algorithm. …”
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    Article
  17. 137

    On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior by Bo Dai, Hao Gu, Yantao Zhu, Siyu Chen, E. Fernandez Rodriguez

    Published 2020-01-01
    “…In this paper, an artificial neural network (ANN), trained by the improved artificial fish swarm algorithm (IAFSA) and backpropagation algorithm (BP), is proposed for predicting the dam deformation. …”
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    Article
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