Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models. - Xunfeng Wu; Shiwen Zhang; Zhe Gong; Junkai Ji; Qiuzhen Lin; Jianyong Chen (Complex., 2020)

A Classification-based Mixture-of-Kriging Assisted Evolutionary Algorithm for Expensive Many-objective Optimization. - Gaoli Kang; Xunfeng Wu; Qiuzhen Lin (CCIS, 2021)

A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. - Qunfeng Liu; Xunfeng Wu; Qiuzhen Lin; Junkai Ji; Ka-Chun Wong (Swarm Evol. Comput., 2021)

An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. - Qiuzhen Lin; Xunfeng Wu; Lijia Ma; Jianqiang Li 001; Maoguo Gong; Carlos A. Coello Coello (IEEE Trans. Evol. Comput., 2022)

A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. - Xunfeng Wu; Qiuzhen Lin; Wu Lin; Yulong Ye; Qingling Zhu; Victor C. M. Leung (Eng. Appl. Artif. Intell., 2023)

An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems. - Xunfeng Wu; Qiuzhen Lin; Jianqiang Li 001; Kay Chen Tan; Victor C. M. Leung (IEEE Trans. Cybern., 2023)

A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation. - Xunfeng Wu; Songbai Liu; Junkai Ji; Lijia Ma; Victor C. M. Leung (CEC, 2024)

A Kriging-assisted evolutionary algorithm with multiple infill sampling for expensive many-objective optimization. - Qingling Zhu; Gaoli Kang; Xunfeng Wu; Qiuzhen Lin; Huimei Tang; Jianyong Chen (Eng. Appl. Artif. Intell., 2024)

Evolutionary Optimization with a Simplified Helper Task for High-Dimensional Expensive Multiobjective Problems. - Xunfeng Wu; Qiuzhen Lin; Junwei Zhou 002; Songbai Liu; Carlos A. Coello Coello; Victor C. M. Leung (ACM Trans. Evol. Learn. Optim., 2024)