Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling. - Zhigang Ren; Chenlong He; Dexing Zhong; Shanshan Huang; Yongsheng Liang 002 (CEC, 2016)

Inferior solutions in Gaussian EDA: Useless or useful? - Yongsheng Liang 002; Zhigang Ren; Lin Wang 026; Bei Pang; Mohammad Moinul Hossain (CEC, 2017)

An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. - Zhigang Ren; An Chen 001; Lin Wang 026; Yongsheng Liang 002; Bei Pang (GECCO (Companion), 2017)

A historical interdependency based differential grouping algorithm for large scale global optimization. - An Chen 001; Zhigang Ren; Yang Yang 066; Yongsheng Liang 002; Bei Pang (GECCO (Companion), 2018)

A global information based adaptive threshold for grouping large scale optimization problems. - An Chen 001; Yipeng Zhang; Zhigang Ren; Yang Yang 066; Yongsheng Liang 002; Bei Pang (GECCO, 2018)

Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering. - Yongsheng Liang 002; Zhigang Ren; Bei Pang; An Chen 001 (GECCO (Companion), 2018)

Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models. - Bei Pang; Zhigang Ren; Yongsheng Liang 002; An Chen 001 (GECCO (Companion), 2018)

Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization. - Zhigang Ren; Bei Pang; Yongsheng Liang 002; An Chen 001; Yipeng Zhang (CoRR, 2018)

A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems. - An Chen 001; Yipeng Zhang; Zhigang Ren; Yongsheng Liang 002; Bei Pang (CoRR, 2018)

Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm. - Zhigang Ren; Yongsheng Liang 002; Lin Wang 026; Aimin Zhang; Bei Pang; Biying Li (Knowl. Based Syst., 2018)

A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems. - Yongsheng Liang 002; Zhigang Ren; Yang Yang 066; An Chen 001; Daofu Guo; Bei Pang (SMC, 2019)

Surrogate model assisted cooperative coevolution for large scale optimization. - Zhigang Ren; Bei Pang; Muyi Wang; Zuren Feng; Yongsheng Liang 002; An Chen 001; Yipeng Zhang (Appl. Intell., 2019)

An efficient estimation of distribution algorithm with rank-one modification and population reduction. - Yongsheng Liang 002; Zhigang Ren; Miao He; Lin Wang 026; Jianfu Cao; An Chen 001; Bei Pang (Biosyst., 2019)

Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy. - Zhigang Ren; Yongsheng Liang 002; Aimin Zhang; Yang Yang 066; Zuren Feng; Lin Wang 026 (IEEE Trans. Cybern., 2019)

Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection. - Daofu Guo; Zhigang Ren; Yongsheng Liang 002; An Chen 001 (CEC, 2020)

Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform. - Yongsheng Liang 002; Zhigang Ren; An Chen 001; Daofu Guo (CEC, 2020)

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization. - Zhigang Ren; An Chen 001; Muyi Wang; Yang Yang 066; Yongsheng Liang 002; Ke Shang (IEEE Access, 2020)

Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive. - Yongsheng Liang 002; Zhigang Ren; Xianghua Yao; Zuren Feng; An Chen 001; Wenhua Guo (IEEE Trans. Cybern., 2020)

Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions. - An Chen 001; Zhigang Ren; Yongsheng Liang 002; Daofu Guo (CEC, 2021)

An eigenspace divide-and-conquer approach for large-scale optimization. - Zhigang Ren; Yongsheng Liang 002; Muyi Wang; Yang Yang 066; An Chen 001 (Appl. Soft Comput., 2021)

Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection. - Xiaodong Ren; Daofu Guo; Zhigang Ren; Yongsheng Liang 002; An Chen 001 (CoRR, 2021)

Surrogate-assisted cooperative signal optimization for large-scale traffic networks. - Yongsheng Liang 002; Zhigang Ren; Lin Wang 026; Hanqing Liu; Wenhao Du (Knowl. Based Syst., 2021)

An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization. - An Chen 001; Zhigang Ren; Wenhua Guo; Yongsheng Liang 002; Zuren Feng (IEEE Trans. Evol. Comput., 2023)

A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems. - An Chen 001; Zhigang Ren; Muyi Wang; Yongsheng Liang 002; Hanqing Liu; Wenhao Du (Inf. Sci., 2023)