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Yuansheng Cheng
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2020 – today
- 2024
- [j15]Puyu Jiang, Jun Liu
, Yuansheng Cheng
Bi-Population-Enhanced Cooperative Differential Evolution for Constrained Large-Scale Optimization Problems. IEEE Trans. Evol. Comput. 28(6): 1620-1632 (2024) - 2023
- [j14]Yuansheng Cheng, Zufeng Zhang, Grzegorz Królczyk, Sifa Zheng
A LOW-Cost Multi-Frequency Testing Platform for Non-Contact Vibration Measurement. IEEE Instrum. Meas. Mag. 26(8): 48-54 (2023) - [j13]Yong Zeng
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems. Swarm Evol. Comput. 82: 101372 (2023) - [c5]Zhengnan Wu, Yuansheng Cheng:
Big Data Mining Algorithm of Internet of Things Based on Artificial Intelligence Technology. ICISE 2023: 390-394 - 2022
- [j12]Jun Liu, Jiaxiang Yi, Qi Zhou, Yuansheng Cheng:
A sequential multi-fidelity surrogate model-assisted contour prediction method for engineering problems with expensive simulations. Eng. Comput. 38(1): 31-49 (2022) - [j11]Yong Zeng
An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region. Inf. Sci. 609: 1641-1669 (2022) - [j10]Puyu Jiang, Yuansheng Cheng, Jun Liu:
Cooperative Bayesian optimization with hybrid grouping strategy and sample transfer for expensive large-scale black-box problems. Knowl. Based Syst. 254: 109633 (2022) - [j9]Quan Lin, Jiachang Qian, Yuansheng Cheng, Qi Zhou
A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion. Knowl. Based Syst. 254: 109645 (2022) - [j8]Jiaxiang Yi, Yuansheng Cheng, Jun Liu:
A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis. Reliab. Eng. Syst. Saf. 219: 108247 (2022) - 2021
- [j7]Quan Lin, Dawei Hu, Jiexiang Hu, Yuansheng Cheng, Qi Zhou:
A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion. Adv. Eng. Informatics 50: 101437 (2021) - [j6]Puyu Jiang, Yuansheng Cheng, Jiaxiang Yi, Jun Liu:
An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems. Inf. Sci. 569: 728-745 (2021) - [j5]Quan Lin, Jiexiang Hu, Qi Zhou
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. Knowl. Based Syst. 227: 107151 (2021) - [c4]Zhengnan Wu, Yuansheng Cheng:
Design and Implementation of Archive Management System Based on Cloud Computing Big Data. ICISCAE (ACM) 2021: 2115-2118 - 2020
- [j4]Jiachang Qian, Jiaxiang Yi, Yuansheng Cheng, Jun Liu, Qi Zhou:
A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem. Eng. Comput. 36(3): 993-1009 (2020) - [c3]Jiaxiang Yi, Yuansheng Cheng, Jun Liu:
An adaptive constraint-handling approach for optimization problems with expensive objective and constraints. CEC 2020: 1-8
2010 – 2019
- 2019
- [c2]Puyu Jiang, Qi Zhou, Jun Liu, Yuansheng Cheng:
A Three-Stage Surrogate Model Assisted Multi-Objective Genetic Algorithm for Computationally Expensive Problems. CEC 2019: 1680-1687 - 2017
- [j3]Dawei Zhan
Balancing global and local search in parallel efficient global optimization algorithms. J. Glob. Optim. 67(4): 873-892 (2017) - [j2]Dawei Zhan
Pseudo expected improvement criterion for parallel EGO algorithm. J. Glob. Optim. 68(3): 641-662 (2017) - [j1]Dawei Zhan
Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 21(6): 956-975 (2017) - 2011
- [c1]Yuansheng Cheng, Yu Zeng:
Automatic Energy Status Controlling with Dynamic Voltage Scaling in Power-Aware High Performance Computing Cluster. PDCAT 2011: 412-416
Coauthor Index
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