Xinfu Pang

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discrete artificial bee colony algorithm based on multiple neighborhood swaps for the hybrid flowshop scheduling problem with uncertain processing stages.
Swarm Evol. Comput.
Yang Yu, Xinbo Song, Zixiang Li, Liangliang Sun, Yuyan Han, Xinfu Pang, Zhujun Wang, Natalja M. Matsveichuk, Yuri N. Sotskov
2026 J jnl
Optimal scheduling method of carbon-green certificate trading virtual power plant via Q-learning-enhanced particle swarm algorithm.
Complex Intell. Syst.
Jiansheng Jin, Xinfu Pang, Baoshi Wang, Duo Wang, Zhedong Zheng
2026 J jnl
Optimal scheduling of integrated energy systems with power-to-hydrogen for flexible supply-demand balance via Q-learning-enhanced grey wolf optimizer.
Appl. Soft Comput.
Kuiyuan Pan, Tianhe Sun, Xinfu Pang, Zedong Zheng, Haibo Li
2025 J jnl
A self-adaptive discrete artificial bee colony algorithm based on block swap for steelmaking and continuous casting scheduling problem.
Appl. Soft Comput.
Yang Yu, Guo-Dong Yang, Qichun Zhang, Liangliang Sun, Xinfu Pang, Yefeng Liu
2025 J jnl
An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping.
IEEE Trans Autom. Sci. Eng.
Yang Yu, Quan-Ke Pan, Xinfu Pang, Xiaochu Tang
2025 J jnl
Optimized Hybrid Deep Learning Framework for Short-Term Power Load Interval Forecasting via Improved Crowned Crested Porcupine Optimization and Feature Mode Decomposition.
Algorithms
Shucheng Luo, Xiangbin Meng, Xinfu Pang, Haibo Li, Zedong Zheng
2025 J jnl
RIME-CNN-BiLSTM for data-driven precision agriculture: a hybrid model for adaptive temperature and humidity forecasting in solar greenhouses.
Comput. Electron. Agric.
Yingchun Jiang, Jiawen Zou, Xunan Sui, Zedong Zheng, Xinfu Pang
2024 J jnl
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response.
Expert Syst. Appl.
Xinfu Pang, Yibao Wang, Shengxiang Yang, Wei Liu, Yang Yu
2024 J jnl
A multi-objective scheduling method for hybrid integrated energy systems via Q-learning-based multi-population dung beetle optimizers.
Comput. Electr. Eng.
Naiwei Tu, Zuhao Fan, Xinfu Pang, Xin Yan, Yibao Wang, Yucheng Liu, Dong Yang
2024 J jnl
Insulator Defect Recognition Based on Vision Big-Model Transfer Learning and Stochastic Configuration Network.
IET Signal Process.
Siyuan Liu, Yihua Ma, Zedong Zheng, Xinfu Pang, Bingyou Li
2024 J jnl
Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting.
Comput. Math. Appl.
Yang Yu, Yu Wang, Xinfu Pang, Liangliang Sun
2023 J jnl
An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system.
J. Intell. Fuzzy Syst.
Liming Wang, Yingming Liu, Xinfu Pang, Qimin Wang, Xiaodong Wang
2022 J jnl
Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm.
PeerJ Comput. Sci.
Xinfu Pang, Wei Sun, Haibo Li, Yibao Wang, Changfeng Luan
2018 J jnl
An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process.
Comput. Ind. Eng.
Kunkun Peng, Quan-Ke Pan, Liang Gao, Biao Zhang, Xinfu Pang
2014 J jnl
A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process.
Eur. J. Oper. Res.
Kun Mao, Quan-Ke Pan, Xinfu Pang, Tianyou Chai