Zhongyang Han

16 papers B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Uncertainty Involved Two-Stage Energy Optimization Framework Based on Deep Reinforcement Learning for Steel Enterprise.
IEEE Trans. Ind. Electron.
Zhiyuan Wang, Zhongyang Han, Jun Zhao, Wei Wang
2024 J jnl
A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry.
IEEE CAA J. Autom. Sinica
Xuerui Zhang, Zhongyang Han, Jun Zhao
2024 J jnl
Distributed robust scheduling optimization for energy system of steel industry considering prediction uncertainties.
Inf. Sci.
Zhiyuan Wang, Zhongyang Han, Jun Zhao, Wei Wang
2024 J jnl
Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers.
IEEE Trans. Ind. Informatics
Lei Su, Zhongyang Han, Jun Zhao, Wei Wang
2024 B conf
Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework.
CEC
Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, Jun Zhao, Wei Wang
2023 J jnl
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry.
IEEE Trans. Ind. Electron.
Ze Wang, Zhongyang Han, Jun Zhao, Wei Wang, Ying Liu
2022 J jnl
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry.
Swarm Evol. Comput.
Zhongyang Han, Xinyu Zhang, Hongqi Zhang, Jun Zhao, Wei Wang
2022 J jnl
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals.
IEEE Trans. Cybern.
Zhongyang Han, Witold Pedrycz, Jun Zhao, Wei Wang
2020 J jnl
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry.
IEEE Access
Linqing Wang, Zhongyang Han, Witold Pedrycz, Jun Zhao, Wei Wang
2020 J jnl
Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input.
IEEE CAA J. Autom. Sinica
Long Chen, Linqing Wang, Zhongyang Han, Jun Zhao, Wei Wang
2019 — conf
A Spark-Based Approach for High-Efficiency Embedded Feature Selection.
DASC/PiCom/DataCom/CyberSciTech
Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang
2019 J jnl
Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization.
IEEE CAA J. Autom. Sinica
Zhiming Lv, Linqing Wang, Zhongyang Han, Jun Zhao, Wei Wang
2018 J jnl
Adaptive Granulation-Based Prediction for Energy System of Steel Industry.
IEEE Trans. Cybern.
Tianyu Wang, Zhongyang Han, Jun Zhao, Wei Wang
2017 J jnl
An optimized oxygen system scheduling with electricity cost consideration in steel industry.
IEEE CAA J. Autom. Sinica
Zhongyang Han, Jun Zhao, Wei Wang
2016 J jnl
Granular Model of Long-Term Prediction for Energy System in Steel Industry.
IEEE Trans. Cybern.
Jun Zhao, Zhongyang Han, Witold Pedrycz, Wei Wang
2016 J jnl
Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels.
Inf. Sci.
Zhongyang Han, Jun Zhao, Quanli Liu, Wei Wang