Search Results - "Zeng, Jianchao"

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  1. 1

    Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems by Sun, Chaoli, Jin, Yaochu, Cheng, Ran, Ding, Jinliang, Zeng, Jianchao

    “…Surrogate models have shown to be effective in assisting metaheuristic algorithms for solving computationally expensive complex optimization problems. The…”
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    Journal Article
  2. 2

    Surrogate-assisted hierarchical particle swarm optimization by Yu, Haibo, Tan, Ying, Zeng, Jianchao, Sun, Chaoli, Jin, Yaochu

    Published in Information sciences (01-07-2018)
    “…Meta-heuristic algorithms, which require a large number of fitness evaluations before locating the global optimum, are often prevented from being applied to…”
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  3. 3

    A two-layer surrogate-assisted particle swarm optimization algorithm by Sun, Chaoli, Jin, Yaochu, Zeng, Jianchao, Yu, Yang

    Published in Soft computing (Berlin, Germany) (01-06-2015)
    “…Like most evolutionary algorithms, particle swarm optimization (PSO) usually requires a large number of fitness evaluations to obtain a sufficiently good…”
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  4. 4

    SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators by Jia, Jianfang, Liang, Jianyu, Shi, Yuanhao, Wen, Jie, Pang, Xiaoqiong, Zeng, Jianchao

    Published in Energies (Basel) (01-01-2020)
    “…The state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries are two important factors which are normally predicted using the battery…”
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  5. 5

    A Lithium-ion Battery RUL Prediction Method Considering the Capacity Regeneration Phenomenon by Pang, Xiaoqiong, Huang, Rui, Wen, Jie, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Energies (Basel) (12-06-2019)
    “…Prediction of Remaining Useful Life (RUL) of lithium-ion batteries plays a significant role in battery health management. Battery capacity is often chosen as…”
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  6. 6

    WSMsFNet: Joint the Whole Supervision and Multiscale Fusion Network for Remote Sensing Image Change Detection by Wang, Bin, Jiang, Xiaohu, Qin, Pinle, Zeng, Jianchao

    “…Remote sensing image change detection aims to extract high-level semantic feature to identify the changed areas (CAs) between dual-temporal images (DTIs)…”
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  7. 7

    LGIT: local–global interaction transformer for low-light image denoising by Chen, Zuojun, Qin, Pinle, Zeng, Jianchao, Song, Quanzhen, Zhao, Pengcheng, Chai, Rui

    Published in Scientific reports (18-09-2024)
    “…Transformer-based methods effectively capture global dependencies in images, demonstrating outstanding performance in multiple visual tasks. However, existing…”
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  8. 8

    Optimal group maintenance decision for a wind farm based on condition‐based maintenance by Wang, Jinhe, Zhang, Xiaohong, Zeng, Jianchao

    Published in Wind energy (Chichester, England) (01-12-2021)
    “…This study investigated the group maintenance (GM) strategy based on condition‐based maintenance (CBM) of a parallel wind farm with multiple identical wind…”
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  9. 9

    Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction by Jia, Jianfang, Yuan, Shufang, Shi, Yuanhao, Wen, Jie, Pang, Xiaoqiong, Zeng, Jianchao

    Published in iScience (15-04-2022)
    “…Accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) plays an important role in improving the performance and assuring the safe operation…”
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  10. 10

    A multi-role steered artificial bee colony algorithm with variable dimensionality perturbation for multimodal optimization problems by Kang, Yaxin, Yu, Haibo, Kang, Li, Qiao, Gangzhu, Guo, Dongpeng, Zeng, Jianchao

    Published in Memetic computing (2024)
    “…To address the issues of slow and premature convergence of artificial bee colony (ABC) for handling complex multimodal optimization problems, this paper…”
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  11. 11

    Bi-preference linkage-driven artificial bee colony algorithm with multi-operator fusion by Yu, Haibo, Kang, Yaxin, Kang, Li, Zeng, Jianchao

    Published in Complex & intelligent systems (01-12-2023)
    “…The artificial bee colony algorithm (ABC) struggles in handling complex optimization problems with high dimensions in light of its search operators’ strong…”
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    Journal Article
  12. 12

    State-of-Health Prediction of Lithium-Ion Batteries Based on CNN-BiLSTM-AM by Tian, Yukai, Wen, Jie, Yang, Yanru, Shi, Yuanhao, Zeng, Jianchao

    Published in Batteries (Basel) (01-10-2022)
    “…State-of-Health (SOH) prediction of lithium-ion batteries is crucial in battery management systems. In order to guarantee the safe operation of lithium-ion…”
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  13. 13

    Exponential stabilization of two-level quantum systems based on continuous noise-assisted feedback by Wen, Jie, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Results in physics (01-03-2021)
    “…The exponential stabilization of the eigenstates for two-level quantum systems based on continuous noise-assisted feedback control is investigated in this…”
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  14. 14

    Multi‐Scale Prediction of RUL and SOH for Lithium‐Ion Batteries Based on WNN‐UPF Combined Model by Jianfang, Jia, Keke, Wang, Xiaoqiong, Pang, Yuanhao, Shi, Jie, Wen, Jianchao, Zeng

    Published in Chinese Journal of Electronics (01-01-2021)
    “…The prediction of Remaining useful life (RUL) and the estimation of State of health (SOH) are extremely important issues for operating performance of…”
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  15. 15

    Exponential stabilization of stochastic quantum systems via combined feedback by Wen, Jie, Shi, Yuanhao, Jia, Jianfang, Zeng, Jianchao

    Published in Results in physics (01-11-2021)
    “…We propose a novel control strategy by combining state feedback with noise-assisted feedback to exponentially stabilize the target eigenstate for two-level…”
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  16. 16

    Heat Transfer Efficiency Prediction of Coal-Fired Power Plant Boiler Based on CEEMDAN-NAR Considering Ash Fouling by Shi, Yuanhao, Li, Mengwei, Wen, Jie, Yang, Yanru, Cui, Fangshu, Zeng, Jianchao

    Published in Energies (Basel) (01-07-2021)
    “…Ash fouling has been an important factor in reducing the heat transfer efficiency and safety of the coal-fired power plant boilers. Scientific and accurate…”
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  17. 17

    Dual-drive collaboration surrogate-assisted evolutionary algorithm by coupling feature reduction and reconstruction by Yu, Haibo, Gong, Yiyun, Kang, Li, Sun, Chaoli, Zeng, Jianchao

    Published in Complex & intelligent systems (01-02-2024)
    “…Surrogate-assisted evolutionary algorithm (SAEA) prevails in the optimization of computationally expensive problems. However, existing SAEAs confront low…”
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  18. 18

    A multi-model assisted differential evolution algorithm for computationally expensive optimization problems by Yu, Haibo, Kang, Li, Tan, Ying, Zeng, Jianchao, Sun, Chaoli

    Published in Complex & intelligent systems (01-10-2021)
    “…Surrogate models are commonly used to reduce the number of required expensive fitness evaluations in optimizing computationally expensive problems. Although…”
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  19. 19

    RFLSE: Joint radiomics feature‐enhanced level‐set segmentation for low‐contrast SPECT/CT tumour images by Guo, Zhaotong, Qin, Pinle, Zeng, Jianchao, Chai, Rui, Wu, Zhifang, Zhang, Jinjing, Qin, Jia, Jin, Zanxia, Zhao, Pengcheng, Wang, Yixiong

    Published in IET image processing (01-08-2024)
    “…Doctors typically use non‐contrast‐enhanced computed tomography (NCECT) in the treatment of kidney cancer to map kidney and tumour structural information to…”
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