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范朝冬 的个人主页
  • 范朝冬
  1. 职  务:教师
  2. 学  院:必赢bwin网页版
  3. 学历职称:博士/副教授
  4. 导师类型:硕/博士生导师
  5. 联系方式:fanchd@126.com
个人简介 科研项目 发表论文 获奖情况 专利情况

发表论文

[1] Chaodong Fan, Shanghao Nie, Leyi Xiao*, et al. Short-term industrial load forecasting based on error correction and hybrid ensemble learning [J]. Energy & Buildings, 2024, 313: 11426. (SCI, IF: 6.6, JCR一区, Top期刊)

[2] Chaodong Fan, Shanghao Nie, Leyi Xiao*, et al. A multi-stage ensemble model for power load forecasting based on decomposition, error factors, and multi-objective optimization algorithm [J]. International Journal of Electrical Power and Energy Systems, 2024, 155(109620) (SCI, IF: 5.0, JCR一区,Top期刊)

[3] Chaodong Fan, Zhenhuan Zeng, Leyi Xiao, et al.  GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features [J]. Pattern Recognition2022DOI10.1016/j.patcog.2022.108963. (SCI, IF: 7.5, JCR一区, Top期刊)

[4] Chaodong Fan, Changkun Ding, Leyi Xiao*et al. Deep belief ensemble network based on MOEA/D for short-term load forecasting [J]. Nonlinear Dynamics, 2021, 105: 2045-2430. (SCIIF: 5.2JCR一区,Top期刊)

[5] Chaodong Fan, Bo Hou, Jinhua Zheng, Leyi Xiao*, Lingzhi Yi. A surrogate-assisted particle swarm optimization using ensemble learning for expensive problems with small sample datasets [J]. Applied Soft Computing, 2020, 91:106242. (SCI, IF: 7.2, JCR一区, Top期刊)

[6] Chaodong Fan, Changkun Ding, Jinhua Zheng, Leyi Xiao*, Zhaoyang Ai. Empirical mode decomposition based multi-objective deep belief network for short-term power load forecasting [J]. Neurocomputing, 2020, 338(C): 110-123. (SCI, IF: 5.5, JCR一区,Top期刊)

[7] Chaodong Fan, Gongrong Li, Leyi Xiao*, et al. Short-term power load forecasting in city based on ISSA-BiTCN-LSTM [J]. Cognitive Computation, 2025, 17:39. (SCI, IF: 4.3, JCR一区)

[8] Chaodong Fan, Gongrong Li, Leyi Xiao*, et al. An ISSA-TCN short-term urban power load forecasting model with error factor [J]. Physica Scripta, 100(4): 045222. (SCI, IF: 2.6, JCR二区)

[9] Chaodong Fan, Jiawei Wang, Leyi Xiao*, et al. A coevolution algorithm based on two-staged strategy for constrained multi-objective problems [J]. Applied Intelligence, 2022, https://doi.org/10.1007/s10489-022-03421-7. (SCI, IF: 3.4, JCR)

[10] Chaodong Fan, Jiawei Wang, Laurence T. Yang, Leyi Xiao*, et al. Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm. Applied Intelligence, 2023.5. (SCI, IF: 3.4, JCR二区)

[11] Chaodong Fan, Yunfan Li, Lingzhi Yi, et al. Multi-objective LSTM ensemble model for household short-term load forecasting [J]. Memetic Computing, 2022, 72(1): 1-18. (SCI, IF: 3.3, JCR)

[12] Chaodong Fan, Honglin Ouyang, Yingjie Zhang*, Leyi Xiao. Optimal multilevel thresholding using molecular kinetic theory optimization algorithm [J]. Applied Mathematics and Computation, 2014, 239(15): 391-408. (SCI, IF: 3.5, JCR一区, Top期刊)

[13] Chaodong Fan, Ningjun Zheng, Jinhua Zheng, Leyi Xiao, Yingnan Liu. Kinetic-molecular theory optimization algorithm using opposition based learning and varying accelerated motion [J]. Soft Computing, 2020, Vol. 24: 12709-12730. (SCI, IF: 3.1, JCR二区)

[14] Chaodong Fan, Jie Li, Lingzhi Yi, et al. An optimal algorithm based on kinetic-molecular theory with artificial memory to solving economic dispatch problem [J]. Current Science, 2018, 115(3): 454-464. (SCI, IF: 1.1 , JCR)

[15] FAN Chao-dong, REN Ke, ZHANG Ying-jie, YI Ling-zhi*. Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram [J]. Journal of Central South University, 2016, 23(4): 880-890. (SCI, IF: 3.7, JCR)

[16] FAN Chao-dong, OUYANG Hong-lin, ZHANG Ying-jie*, AI Zhao-yang. Optimization algorithm based on kinetic-molecular theory [J]. Journal of Central South University, 2013, 20(12): 3504-3512. (SCI, IF: 3.7, JCR)

[17] Chaodong Fan, Yuetang Wu, Hongbo Hu, Leyi Xiao*, et al. A two-stage cooperative multi-objective evolutionary differential algorithm for combined heat and power economic emission dispatch [J]. Arabian Journal for Science and Engineering, 2023, 48:5889–5906. (SCI, IF: 2.6, JCR二区)

[18] Leyi Xiao, Baoxian Zhou, Chaodong Fan*. Automatic brain MRI tumors segmentation based on deep fusion of weak edge and context features [J]. Artificial Intelligence Review, 2025, 58:154. https://doi.org/10.1007/s10462-025-11151-8  (SCI, IF: 10.7, JCR一区, Top期刊)

[19] Leyi Xiao, Chaodong Fan*, Zhaoyang Ai, et al. Locally informed gravitational search algorithm with hierarchical topological structure [J]. Engineering Applications of Artificial Intelligence, 2023,123 (106236):1-18 (SCI, IF: 7.5, JCR一区, Top期刊)

[20] Leyi Xiao, Jiaojiao SongXia Xie, Chaodong Fan*. Enhanced Medical Image Segmentation Using U-Net with Residual Connections and Dual Attention Mechanism [J]. Engineering Applications of Artificial Intelligence (2025) (SCI, IF: 7.5, JCR一区, Top期刊)

[21] 范朝冬,章兢,易灵芝*. M-精英协同进化分子动理论优化算法[J]. 通信学报, 2015, 36(7): 144-152. (EI 国内权威期刊)

[22] 范朝冬, 欧阳红林, 张英杰*. 基于小概率策略的 Otsu 图像分割方法[J]. 电子与信息学报, 2013, 35 (9): 2081-2087. (EI 国内权威期刊)

[23] 范朝冬*, 欧阳红林, 肖乐意. 基于空间截面投影的 Otsu 图像分割算法[J]. 通信学报, 2014, 35(5): 70-78. (EI 国内权威期刊)

[24] 范朝冬, 张英杰*, 欧阳红林, 肖乐意. 基于改进斜分 Otsu 法的回转窑火焰图像分割[J]. 自动化学报,2014, 40(11): 2480-2489. (EI 国内权威期刊)

[25] 范朝冬, 刘颖南, 章兢, . 弱连接多子群分子动理论优化算法[J]. 控制理论与应用, 2019, 36(1): 108–119. (EI 国内权威期刊)

[26] Chaodong Fan, Ningjun Zheng, Leyi Xiao, Juan Zou. MR brain image segmentation using elite kinetic-molecular theory optimization algorithm [J]. International Journal of Automation and Control, 2020, 14(5/6):593-605 (EI 期刊)



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