Zhongyang Han

Orcid: 0000-0002-3397-4915

According to our database1, Zhongyang Han authored at least 15 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry.
IEEE CAA J. Autom. Sinica, October, 2024

Graph-Frequency Domain Kalman Filtering for Industrial Pipe Networks Subject to Measurement Outliers.
IEEE Trans. Ind. Informatics, May, 2024

Distributed robust scheduling optimization for energy system of steel industry considering prediction uncertainties.
Inf. Sci., 2024

Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry.
IEEE Trans. Ind. Electron., 2023

2022
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals.
IEEE Trans. Cybern., 2022

A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry.
Swarm Evol. Comput., 2022

2020
Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input.
IEEE CAA J. Autom. Sinica, 2020

A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry.
IEEE Access, 2020

2019
Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization.
IEEE CAA J. Autom. Sinica, 2019

A Spark-Based Approach for High-Efficiency Embedded Feature Selection.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
Adaptive Granulation-Based Prediction for Energy System of Steel Industry.
IEEE Trans. Cybern., 2018

2017
An optimized oxygen system scheduling with electricity cost consideration in steel industry.
IEEE CAA J. Autom. Sinica, 2017

2016
Granular Model of Long-Term Prediction for Energy System in Steel Industry.
IEEE Trans. Cybern., 2016

Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels.
Inf. Sci., 2016


  Loading...