Xinfu Pang

According to our database, Xinfu Pang authored at least 16 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Discrete artificial bee colony algorithm based on multiple neighborhood swaps for the hybrid flowshop scheduling problem with uncertain processing stages.

Yang Yu, Xinbo Song, Zixiang Li, Liangliang Sun, Yuyan Han, Xinfu Pang, Zhujun Wang, Natalja M. Matsveichuk, Yuri N. Sotskov

Swarm Evol. Comput., 2026

Bi-level optimization scheduling method for virtual power plants via Stackelberg game and Q-learning-based differential evolution.

Xinfu Pang, Bin Wang, Yefeng Liu, Wei Liu, Zedong Zheng

Expert Syst. Appl., 2026

Optimal scheduling method of carbon-green certificate trading virtual power plant via Q-learning-enhanced particle swarm algorithm.

Jiansheng Jin, Xinfu Pang, Baoshi Wang, Duo Wang, Zhedong Zheng

Complex Intell. Syst., 2026

Optimal scheduling of integrated energy systems with power-to-hydrogen for flexible supply-demand balance via Q-learning-enhanced grey wolf optimizer.

Kuiyuan Pan, Tianhe Sun, Xinfu Pang, Zedong Zheng, Haibo Li

Appl. Soft Comput., 2026

2025

An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping.

Yang Yu, Quan-Ke Pan, Xinfu Pang, Xiaochu Tang

IEEE Trans Autom. Sci. Eng., 2025

RIME-CNN-BiLSTM for data-driven precision agriculture: a hybrid model for adaptive temperature and humidity forecasting in solar greenhouses.

Yingchun Jiang, Jiawen Zou, Xunan Sui, Zedong Zheng, Xinfu Pang

Comput. Electron. Agric., 2025

A self-adaptive discrete artificial bee colony algorithm based on block swap for steelmaking and continuous casting scheduling problem.

Yang Yu, Guo-Dong Yang, Qichun Zhang, Liangliang Sun, Xinfu Pang, Yefeng Liu

Appl. Soft Comput., 2025

Optimized Hybrid Deep Learning Framework for Short-Term Power Load Interval Forecasting via Improved Crowned Crested Porcupine Optimization and Feature Mode Decomposition.

Shucheng Luo, Xiangbin Meng, Xinfu Pang, Haibo Li, Zedong Zheng

Algorithms, 2025

2024

Insulator Defect Recognition Based on Vision Big-Model Transfer Learning and Stochastic Configuration Network.

Siyuan Liu, Yihua Ma, Zedong Zheng, Xinfu Pang, Bingyou Li

IET Signal Process., 2024

A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response.

Xinfu Pang, Yibao Wang, Shengxiang Yang, Wei Liu, Yang Yu

Expert Syst. Appl., 2024

Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting.

Yang Yu, Yu Wang, Xinfu Pang, Liangliang Sun

Comput. Math. Appl., 2024

A multi-objective scheduling method for hybrid integrated energy systems via Q-learning-based multi-population dung beetle optimizers.

Naiwei Tu, Zuhao Fan, Xinfu Pang, Xin Yan, Yibao Wang, Yucheng Liu, Dong Yang

Comput. Electr. Eng., 2024

2023

An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system.

Liming Wang, Yingming Liu, Xinfu Pang, Qimin Wang, Xiaodong Wang

J. Intell. Fuzzy Syst., December, 2023

2022

Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm.

Xinfu Pang, Wei Sun, Haibo Li, Yibao Wang, Changfeng Luan

PeerJ Comput. Sci., 2022

2018

An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process.

Kunkun Peng, Quan-Ke Pan, Liang Gao, Biao Zhang, Xinfu Pang

Comput. Ind. Eng., 2018

2014

A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process.

Kun Mao, Quan-Ke Pan, Xinfu Pang, Tianyou Chai

Eur. J. Oper. Res., 2014