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)

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)

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)

A Knowledge Transfer-Based Evolutionary Algorithm for Multimodal Optimization. - Wenhao Du; Zhigang Ren; An Chen 001; Hanqing Liu (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)

Evolutionary Multitasking with Search Direction Alignment. - Wenhao Du; Zhigang Ren; Muju Wang; An Chen 001; Hanqing Liu; Shenyu Su (IJCNN, 2023)

A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network. - An Chen 001; Zhigang Ren; Muyi Wang; Hui Chen; Haoxi Leng; Shuai Liu (CoRR, 2023)

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)

Aligning heterogeneous optimization problems with optimal correspondence assisted affine transformation for evolutionary multi-tasking. - An Chen 001; Zhigang Ren; Muyi Wang; Shenyu Su; Jiaqi Yun; Yichuang Wang (Appl. Soft 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)

A multimodal evolutionary algorithm with multi-niche cooperation. - Wenhao Du; Zhigang Ren; An Chen 001; Hanqing Liu; Yichuan Wang; Haoxi Leng (Expert Syst. Appl., 2023)

A surrogate-assisted highly cooperative coevolutionary algorithm for hyperparameter optimization in deep convolutional neural networks. - An Chen 001; Zhigang Ren; Muyi Wang; Hui Chen; Haoxi Leng; Shuai Liu (Appl. Soft Comput., 2023)

A surrogate-assisted evolutionary algorithm with knowledge transfer for expensive multimodal optimization problems. - Wenhao Du; Zhigang Ren; Jihong Wang; An Chen 001 (Inf. Sci., 2024)