Yongsheng Liang

29 papers A 1B 6Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems.
Inf. Sci.
An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du
2023 J jnl
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput.
An Chen, Zhigang Ren, Wenhua Guo, Yongsheng Liang, Zuren Feng
2021 J jnl
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems.
CoRR
An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du
2021 J jnl
An eigenspace divide-and-conquer approach for large-scale optimization.
Appl. Soft Comput.
Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen
2021 B conf
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions.
CEC
An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo
2021 J jnl
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection.
CoRR
Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen
2021 J jnl
Surrogate-assisted cooperative signal optimization for large-scale traffic networks.
CoRR
Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
2021 J jnl
Surrogate-assisted cooperative signal optimization for large-scale traffic networks.
Knowl. Based Syst.
Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
2020 J jnl
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization.
CoRR
Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen
2020 J jnl
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.
IEEE Access
Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang
2020 J jnl
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive.
IEEE Trans. Cybern.
Yongsheng Liang, Zhigang Ren, Xianghua Yao, Zuren Feng, An Chen, Wenhua Guo
2020 B conf
Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection.
CEC
Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen
2020 B conf
Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform.
CEC
Yongsheng Liang, Zhigang Ren, An Chen, Daofu Guo
2019 B conf
A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems.
SMC
Yongsheng Liang, Zhigang Ren, Yang Yang, An Chen, Daofu Guo, Bei Pang
2019 J jnl
An efficient estimation of distribution algorithm with rank-one modification and population reduction.
Biosyst.
Yongsheng Liang, Zhigang Ren, Miao He, Lin Wang, Jianfu Cao, An Chen, Bei Pang
2019 J jnl
Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy.
IEEE Trans. Cybern.
Zhigang Ren, Yongsheng Liang, Aimin Zhang, Yang Yang, Zuren Feng, Lin Wang
2019 J jnl
Surrogate model assisted cooperative coevolution for large scale optimization.
Appl. Intell.
Zhigang Ren, Bei Pang, Muyi Wang, Zuren Feng, Yongsheng Liang, An Chen, Yipeng Zhang
2018 J jnl
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems.
CoRR
An Chen, Yipeng Zhang, Zhigang Ren, Yongsheng Liang, Bei Pang
2018 A conf
A global information based adaptive threshold for grouping large scale optimization problems.
GECCO
An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang
2018 — conf
A historical interdependency based differential grouping algorithm for large scale global optimization.
GECCO (Companion)
An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang
2018 J jnl
Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm.
Knowl. Based Syst.
Zhigang Ren, Yongsheng Liang, Lin Wang, Aimin Zhang, Bei Pang, Biying Li
2018 J jnl
Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models.
CoRR
Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen
2018 — conf
Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models.
GECCO (Companion)
Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen
2018 J jnl
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering.
CoRR
Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen
2018 — conf
Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering.
GECCO (Companion)
Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen
2018 J jnl
Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization.
CoRR
Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yipeng Zhang
2017 — conf
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems.
GECCO (Companion)
Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang
2017 B conf
Inferior solutions in Gaussian EDA: Useless or useful?
CEC
Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain
2016 B conf
Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling.
CEC
Zhigang Ren, Chenlong He, Dexing Zhong, Shanshan Huang, Yongsheng Liang