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Bing-Chuan Wang
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2020 – today
- 2024
- [j30]Junren Pan, Qiankun Zuo
, Bing-Chuan Wang
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. IEEE Trans. Artif. Intell. 5(10): 5050-5063 (2024) - [j29]Yun Feng
Optimized Weights for Heterogeneous Epidemic Spreading Networks: A Constrained Cooperative Coevolution Strategy. IEEE Trans. Comput. Soc. Syst. 11(3): 3911-3919 (2024) - [j28]Bing-Chuan Wang
ATM-R: An Adaptive Tradeoff Model With Reference Points for Constrained Multiobjective Evolutionary Optimization. IEEE Trans. Cybern. 54(8): 4475-4488 (2024) - [j27]Hai-Peng Deng
Physics-Informed Spatial Fuzzy System and Its Applications in Modeling. IEEE Trans. Fuzzy Syst. 32(10): 5951-5962 (2024) - [j26]Hai-Peng Deng
Physics-Dominated Neural Network for Spatiotemporal Modeling of Battery Thermal Process. IEEE Trans. Ind. Informatics 20(1): 452-460 (2024) - [j25]Bing-Chuan Wang
Gaussian Process-Accelerated Multiobjective Evolutionary Design of Charging Process Considering Multiple User Preferences. IEEE Trans. Ind. Informatics 20(8): 10123-10133 (2024) - [j24]Zheng Xiong
Decentralized Multiagent Reinforcement Learning Based State-of-Charge Balancing Strategy for Distributed Energy Storage System. IEEE Trans. Ind. Informatics 20(10): 12450-12460 (2024) - [j23]Biao Luo, Zhengke Wu, Fei Zhou, Bing-Chuan Wang:
Human-in-the-Loop Reinforcement Learning in Continuous-Action Space. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15735-15744 (2024) - [j22]Yun Feng
PDE Model-Based On-Line Cell-Level Thermal Fault Localization Framework for Batteries. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2507-2516 (2024) - 2023
- [j21]Zhongyi Shui, Xu-Hao Li, Yun Feng
Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery. IEEE Trans. Ind. Electron. 70(2): 1521-1531 (2023) - [j20]Yun Feng
From Online Systems Modeling to Fault Detection for a Class of Unknown High-Dimensional Distributed Parameter Systems. IEEE Trans. Ind. Electron. 70(5): 5317-5325 (2023) - [c3]Zheng Xiong, Biao Luo, Bing-Chuan Wang:
Mitigation of Voltage Violation for Battery Fast Charging Based on Data-Driven Optimization. ICONIP (14) 2023: 577-589 - [i3]Bing-Chuan Wang, Yunchuan Qin, Xian-Bing Meng, Zhi-Zhong Liu:
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization. CoRR abs/2301.03317 (2023) - [i2]Zheng Xiong, Biao Luo, Bing-Chuan Wang, Xiaodong Xu, Xiaodong Liu, Tingwen Huang:
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System. CoRR abs/2308.15394 (2023) - 2022
- [j19]Bing-Chuan Wang
Solving constrained optimization problems via multifactorial evolution. Appl. Soft Comput. 127: 109392 (2022) - [j18]Bing-Chuan Wang
A two-phase differential evolution for minimax optimization. Appl. Soft Comput. 131: 109797 (2022) - [j17]Bing-Chuan Wang, Zhongyi Shui, Yun Feng
Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization. Swarm Evol. Comput. 73: 101104 (2022) - [j16]Yun Feng
Spatial Decomposition-Based Fault Detection Framework for Parabolic-Distributed Parameter Processes. IEEE Trans. Cybern. 52(8): 7319-7327 (2022) - [j15]Zhi-Zhong Liu
Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. IEEE Trans. Cybern. 52(10): 10163-10176 (2022) - [j14]Yong Wang
Evolutionary Sensor Placement for Spatiotemporal Modeling of Battery Thermal Process. IEEE Trans. Ind. Informatics 18(4): 2223-2232 (2022) - [j13]Pei-Qiu Huang
Placement Optimization for Multi-IRS-Aided Wireless Communications: An Adaptive Differential Evolution Algorithm. IEEE Wirel. Commun. Lett. 11(5): 942-946 (2022) - [c2]Yan-Bo He
Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study. BIC-TA 2022: 3-16 - 2021
- [j12]Bing-Chuan Wang
An adaptive fuzzy penalty method for constrained evolutionary optimization. Inf. Sci. 571: 358-374 (2021) - [j11]Yu Zhou
A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model. IEEE Trans. Ind. Informatics 17(9): 5909-5918 (2021) - [j10]Bing-Chuan Wang
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 574-587 (2021) - [j9]Zhi-Zhong Liu
Indicator-Based Constrained Multiobjective Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5414-5426 (2021) - 2020
- [j8]Bing-Chuan Wang
Individual-dependent feasibility rule for constrained differential evolution. Inf. Sci. 506: 174-195 (2020) - [j7]Yong Wang
Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization. IEEE Trans. Evol. Comput. 24(1): 29-43 (2020) - [j6]Bing-Chuan Wang
Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process. IEEE Trans. Ind. Electron. 67(4): 2885-2893 (2020)
2010 – 2019
- 2019
- [j5]Yun Feng
A Unified Framework of Epidemic Spreading Prediction by Empirical Mode Decomposition- Based Ensemble Learning Techniques. IEEE Trans. Comput. Soc. Syst. 6(4): 660-669 (2019) - [j4]Bing-Chuan Wang
A Sliding Window Based Dynamic Spatiotemporal Modeling for Distributed Parameter Systems With Time-Dependent Boundary Conditions. IEEE Trans. Ind. Informatics 15(4): 2044-2053 (2019) - [j3]Bing-Chuan Wang
Composite Differential Evolution for Constrained Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1482-1495 (2019) - [i1]Yun Feng, Bing-Chuan Wang, Li Ding:
A Constrained Cooperative Coevolution Strategy for Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks. CoRR abs/1901.00602 (2019) - 2018
- [j2]Bing-Chuan Wang
An improved teaching-learning-based optimization for constrained evolutionary optimization. Inf. Sci. 456: 131-144 (2018) - [c1]Bing-Chuan Wang
Multi-task Learning Based Spatiotemporal Modeling for Distributed Thermal Processes. SMC 2018: 2242-2247 - 2016
- [j1]Yong Wang
Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization. IEEE Trans. Cybern. 46(12): 2938-2952 (2016)
Coauthor Index
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