Bing-Chuan Wang

Orcid: 0000-0002-0234-2843

According to our database1, Bing-Chuan Wang authored at least 29 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PDE Model-Based On-Line Cell-Level Thermal Fault Localization Framework for Batteries.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Physics-Dominated Neural Network for Spatiotemporal Modeling of Battery Thermal Process.
IEEE Trans. Ind. Informatics, January, 2024

2023
Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery.
IEEE Trans. Ind. Electron., 2023

From Online Systems Modeling to Fault Detection for a Class of Unknown High-Dimensional Distributed Parameter Systems.
IEEE Trans. Ind. Electron., 2023

Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System.
CoRR, 2023

ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization.
CoRR, 2023

Mitigation of Voltage Violation for Battery Fast Charging Based on Data-Driven Optimization.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm.
IEEE Wirel. Commun. Lett., 2022

Evolutionary Sensor Placement for Spatiotemporal Modeling of Battery Thermal Process.
IEEE Trans. Ind. Informatics, 2022

Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution.
IEEE Trans. Cybern., 2022

Spatial Decomposition-Based Fault Detection Framework for Parabolic-Distributed Parameter Processes.
IEEE Trans. Cybern., 2022

Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization.
Swarm Evol. Comput., 2022

Solving constrained optimization problems via multifactorial evolution.
Appl. Soft Comput., 2022

A two-phase differential evolution for minimax optimization.
Appl. Soft Comput., 2022

Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2021
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Indicator-Based Constrained Multiobjective Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model.
IEEE Trans. Ind. Informatics, 2021

An adaptive fuzzy penalty method for constrained evolutionary optimization.
Inf. Sci., 2021

2020
Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process.
IEEE Trans. Ind. Electron., 2020

Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2020

Individual-dependent feasibility rule for constrained differential evolution.
Inf. Sci., 2020

2019
Composite Differential Evolution for Constrained Evolutionary Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Sliding Window Based Dynamic Spatiotemporal Modeling for Distributed Parameter Systems With Time-Dependent Boundary Conditions.
IEEE Trans. Ind. Informatics, 2019

A Unified Framework of Epidemic Spreading Prediction by Empirical Mode Decomposition- Based Ensemble Learning Techniques.
IEEE Trans. Comput. Soc. Syst., 2019

A Constrained Cooperative Coevolution Strategy for Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks.
CoRR, 2019

2018
An improved teaching-learning-based optimization for constrained evolutionary optimization.
Inf. Sci., 2018

Multi-task Learning Based Spatiotemporal Modeling for Distributed Thermal Processes.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2016
Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization.
IEEE Trans. Cybern., 2016


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