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ORCIDYongsheng Liang 0002
Person information
- affiliation: Xi'an Jiaotong University, School of Automation Science and Engineering, Xi'an, China
Other persons with the same name
- Yongsheng Liang — disambiguation page
- Yongsheng Liang 0001
![[0000-0002-0891-5577]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0891-5577")
— Shenzhen Technology University, College of Big Data and Internet, Shenzhen, China (and 4 more)
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2020 – today
- 2023
[j10]An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du:
A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems. Inf. Sci. 622: 437-455 (2023)- [j9]An Chen, Zhigang Ren, Wenhua Guo, Yongsheng Liang, Zuren Feng:
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 27(3): 475-489 (2023) - 2021
- [j8]Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen:
An eigenspace divide-and-conquer approach for large-scale optimization. Appl. Soft Comput. 99: 106911 (2021) - [j7]Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du:
Surrogate-assisted cooperative signal optimization for large-scale traffic networks. Knowl. Based Syst. 234: 107542 (2021) - [c11]An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo:
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions. CEC 2021: 1047-1053 - [i8]An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du:
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems. CoRR abs/2101.07430 (2021) - [i7]Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen:
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection. CoRR abs/2103.00682 (2021) - [i6]Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du:
Surrogate-assisted cooperative signal optimization for large-scale traffic networks. CoRR abs/2103.02107 (2021) - 2020
- [j6]Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang:
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization. IEEE Access 8: 41913-41928 (2020) - [j5]Yongsheng Liang, Zhigang Ren, Xianghua Yao, Zuren Feng, An Chen, Wenhua Guo:
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive. IEEE Trans. Cybern. 50(1): 140-152 (2020) - [c10]Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen:
Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection. CEC 2020: 1-8 - [c9]Yongsheng Liang, Zhigang Ren, An Chen, Daofu Guo:
Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform. CEC 2020: 1-7 - [i5]Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen:
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization. CoRR abs/2004.02115 (2020)
2010 – 2019
- 2019
- [j4]Zhigang Ren, Bei Pang, Muyi Wang, Zuren Feng, Yongsheng Liang, An Chen, Yipeng Zhang:
Surrogate model assisted cooperative coevolution for large scale optimization. Appl. Intell. 49(2): 513-531 (2019) - [j3]Yongsheng Liang, Zhigang Ren, Miao He, Lin Wang, Jianfu Cao, An Chen, Bei Pang:
An efficient estimation of distribution algorithm with rank-one modification and population reduction. Biosyst. 181: 58-70 (2019) - [j2]Zhigang Ren, Yongsheng Liang, Aimin Zhang, Yang Yang, Zuren Feng, Lin Wang:
Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy. IEEE Trans. Cybern. 49(12): 4180-4193 (2019) - [c8]Yongsheng Liang, Zhigang Ren, Yang Yang, An Chen, Daofu Guo, Bei Pang:
A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems. SMC 2019: 1608-1613 - 2018
- [j1]Zhigang Ren, Yongsheng Liang, Lin Wang, Aimin Zhang, Bei Pang, Biying Li:
Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm. Knowl. Based Syst. 146: 142-151 (2018) - [c7]Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen:
Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering. GECCO (Companion) 2018: 217-218 - [c6]Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen:
Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models. GECCO (Companion) 2018: 221-222 - [c5]An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang:
A global information based adaptive threshold for grouping large scale optimization problems. GECCO 2018: 833-840 - [c4]An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang:
A historical interdependency based differential grouping algorithm for large scale global optimization. GECCO (Companion) 2018: 1711-1715 - [i4]Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yipeng Zhang:
Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization. CoRR abs/1802.09746 (2018) - [i3]An Chen, Yipeng Zhang, Zhigang Ren, Yongsheng Liang, Bei Pang:
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems. CoRR abs/1803.00152 (2018) - [i2]Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen:
Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models. CoRR abs/1803.00906 (2018) - [i1]Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen:
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering. CoRR abs/1803.00986 (2018) - 2017
- [c3]Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain:
Inferior solutions in Gaussian EDA: Useless or useful? CEC 2017: 301-307 - [c2]Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang:
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. GECCO (Companion) 2017: 41-42 - 2016
- [c1]Zhigang Ren, Chenlong He, Dexing Zhong, Shanshan Huang, Yongsheng Liang:
Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling. CEC 2016: 3441-3447
Coauthor Index
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