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Zhongyang Han
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2020 – today
- 2024
- [j13]Xuerui Zhang
, Zhongyang Han
A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry. IEEE CAA J. Autom. Sinica 11(10): 2135-2153 (2024) - [j12]Zhiyuan Wang
Distributed robust scheduling optimization for energy system of steel industry considering prediction uncertainties. Inf. Sci. 666: 120431 (2024) - [j11]Lei Su
Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers. IEEE Trans. Ind. Informatics 20(5): 7977-7985 (2024) - [c2]Xuerui Zhang, Zhongyang Han, Zhiyuan Wang
Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework. CEC 2024: 1-8 - 2023
- [j10]Ze Wang, Zhongyang Han
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. IEEE Trans. Ind. Electron. 70(5): 5296-5306 (2023) - 2022
- [j9]Zhongyang Han
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry. Swarm Evol. Comput. 73: 101123 (2022) - [j8]Zhongyang Han
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. IEEE Trans. Cybern. 52(1): 666-676 (2022) - 2020
- [j7]Linqing Wang, Zhongyang Han
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry. IEEE Access 8: 63538-63550 (2020) - [j6]Long Chen, Linqing Wang, Zhongyang Han, Jun Zhao, Wei Wang:
Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input. IEEE CAA J. Autom. Sinica 7(5): 1437-1445 (2020)
2010 – 2019
- 2019
- [j5]Zhiming Lv, Linqing Wang, Zhongyang Han, Jun Zhao, Wei Wang:
Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization. IEEE CAA J. Autom. Sinica 6(3): 838-849 (2019) - [c1]Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang:
A Spark-Based Approach for High-Efficiency Embedded Feature Selection. DASC/PiCom/DataCom/CyberSciTech 2019: 36-43 - 2018
- [j4]Tianyu Wang, Zhongyang Han
Adaptive Granulation-Based Prediction for Energy System of Steel Industry. IEEE Trans. Cybern. 48(1): 127-138 (2018) - 2017
- [j3]Zhongyang Han, Jun Zhao, Wei Wang:
An optimized oxygen system scheduling with electricity cost consideration in steel industry. IEEE CAA J. Autom. Sinica 4(2): 216-222 (2017) - 2016
- [j2]Zhongyang Han, Jun Zhao, Quanli Liu, Wei Wang:
Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels. Inf. Sci. 330: 175-185 (2016) - [j1]Jun Zhao, Zhongyang Han, Witold Pedrycz, Wei Wang:
Granular Model of Long-Term Prediction for Energy System in Steel Industry. IEEE Trans. Cybern. 46(2): 388-400 (2016)
Coauthor Index
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