Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization. - Qinghua Gu; Xuexian Li; Song Jiang 003 (Complex., 2019)

Modified non-dominated sorting genetic algorithm III with fine final level selection. - Qinghua Gu; Rui Wang 017; Haiyan Xie; Xuexian Li; Song Jiang 003; Naixue Xiong (Appl. Intell., 2021)

A surrogate-assisted radial space division evolutionary algorithm for expensive many-objective optimization problems. - Qinghua Gu; Yufeng Zhou; Xuexian Li; Shunling Ruan (Appl. Soft Comput., 2021)

A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems. - Qinghua Gu; Qian Wang; Xuexian Li; Xinhong Li (Knowl. Based Syst., 2021)

A dynamic neighborhood balancing-based multi-objective particle swarm optimization for multi-modal problems. - Qinghua Gu; Qian Wang 026; Lu Chen 009; Xiaoguang Li; Xuexian Li (Expert Syst. Appl., 2022)

An improved NSGA-III algorithm based on distance dominance relation for many-objective optimization. - Qinghua Gu; Qingsong Xu; Xuexian Li (Expert Syst. Appl., 2022)

A novel Random Forest integrated model for imbalanced data classification problem. - Qinghua Gu; Jingni Tian; Xuexian Li; Song Jiang 003 (Knowl. Based Syst., 2022)

A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle. - Qinghua Gu; Jiaming Bai; Xuexian Li; Naixue Xiong; Caiwu Lu (Swarm Evol. Comput., 2022)

An adaptive evolutionary algorithm with coordinated selection strategies for many-objective optimization. - Qinghua Gu; Jiale Luo; Xuexian Li; Caiwu Lu (Appl. Intell., 2023)

A new ensemble classification approach based on Rotation Forest and LightGBM. - Qinghua Gu; Wenjing Sun; Xuexian Li; Song Jiang 003; Jingni Tian (Neural Comput. Appl., 2023)

An adaptive adjacent maximum distance crossover operator for multi-objective algorithms. - Qinghua Gu; Song Gao; Xuexian Li; Neal N. Xiong; Rongrong Liu (Soft Comput., 2023)

A chaotic differential evolution and symmetric direction sampling for large-scale multiobjective optimization. - Qinghua Gu; Siping Huang; Qian Wang; Xuexian Li; Di Liu (Inf. Sci., 2023)

An improved weighted ensemble clustering based on two-tier uncertainty measurement. - Qinghua Gu; Yan Wang; Peipei Wang; Xuexian Li; Lu Chen 009; Neal N. Xiong; Di Liu (Expert Syst. Appl., 2024)

Objective transformation-based and niche-based many-objective evolutionary algorithm with a two-step coordination mechanism. - Jiale Luo; Qinghua Gu; Xuexian Li; Lu Chen 009 (Eng. Appl. Artif. Intell., 2025)