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2020 – today
- 2025
[j12]Shucheng Luo, Xiangbin Meng, Xinfu Pang
, Haibo Li, Zedong Zheng:
Optimized Hybrid Deep Learning Framework for Short-Term Power Load Interval Forecasting via Improved Crowned Crested Porcupine Optimization and Feature Mode Decomposition. Algorithms 18(10): 659 (2025)- [j11]Yang Yu, Guo-Dong Yang, Qichun Zhang, Liangliang Sun, Xinfu Pang, Yefeng Liu:
A self-adaptive discrete artificial bee colony algorithm based on block swap for steelmaking and continuous casting scheduling problem. Appl. Soft Comput. 184: 113768 (2025) - [j10]Yingchun Jiang, Jiawen Zou, Xunan Sui, Zedong Zheng, Xinfu Pang:
RIME-CNN-BiLSTM for data-driven precision agriculture: a hybrid model for adaptive temperature and humidity forecasting in solar greenhouses. Comput. Electron. Agric. 238: 110838 (2025) - [j9]Yang Yu, Quan-Ke Pan, Xinfu Pang, Xiaochu Tang:
An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping. IEEE Trans Autom. Sci. Eng. 22: 99-114 (2025) - 2024
- [j8]Naiwei Tu, Zuhao Fan, Xinfu Pang, Xin Yan, Yibao Wang, Yucheng Liu, Dong Yang:
A multi-objective scheduling method for hybrid integrated energy systems via Q-learning-based multi-population dung beetle optimizers. Comput. Electr. Eng. 117: 109223 (2024) - [j7]Yang Yu, Yu Wang, Xinfu Pang, Liangliang Sun:
Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting. Comput. Math. Appl. 157: 49-64 (2024) - [j6]Xinfu Pang, Yibao Wang, Shengxiang Yang, Wei Liu, Yang Yu:
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response. Expert Syst. Appl. 243: 122875 (2024) - [j5]Siyuan Liu, Yihua Ma, Zedong Zheng, Xinfu Pang, Bingyou Li:
Insulator Defect Recognition Based on Vision Big-Model Transfer Learning and Stochastic Configuration Network. IET Signal Process. 2024 (2024) - 2023
- [j4]Liming Wang, Yingming Liu, Xinfu Pang, Qimin Wang, Xiaodong Wang:
An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system. J. Intell. Fuzzy Syst. 45(6): 11585-11600 (2023) - 2022
- [j3]Xinfu Pang, Wei Sun, Haibo Li, Yibao Wang, Changfeng Luan:
Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm. PeerJ Comput. Sci. 8: e1108 (2022)
2010 – 2019
- 2018
- [j2]Kunkun Peng, Quan-Ke Pan, Liang Gao, Biao Zhang, Xinfu Pang:
An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process. Comput. Ind. Eng. 122: 235-250 (2018) - 2014
- [j1]Kun Mao, Quan-Ke Pan, Xinfu Pang, Tianyou Chai:
A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process. Eur. J. Oper. Res. 236(1): 51-60 (2014)
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